CN117607817B - Method, device and equipment for detecting on-orbit performance based on radar altimeter load - Google Patents
Method, device and equipment for detecting on-orbit performance based on radar altimeter load Download PDFInfo
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Abstract
The invention discloses an on-orbit performance detection method, device and equipment based on radar altimeter load, relates to the technical field of satellite remote sensing, and solves the problem that the whole load state of a radar altimeter cannot be estimated in real time in the prior art. The method comprises the following steps: obtaining the observation data of radar altimeter load; searching the offshore observation element data point by point along the track to obtain a plurality of first data points and the data states of two adjacent first data points, and obtaining an effective data rechecking result; carrying out point-by-point along-track searching on the echo type data, judging whether the data type of the echo type data is consistent with the data type of the sea-land identification data, and obtaining an echo type detection result; searching sea surface height correction item data point by point along the track, determining the data type of each data point in sea and land identification data, and obtaining a sea surface height correction item detection result; and respectively drawing corresponding detection images, and determining the on-orbit performance of the radar altimeter load. For real-time assessment of the overall load condition of the radar altimeter.
Description
Technical Field
The invention relates to the technical field of satellite remote sensing, in particular to an on-orbit performance detection method, device and equipment based on radar altimeter load.
Background
After a newly launched satellite reaches its operational orbital altitude, a series of comprehensive tests must be performed to ensure that its in-orbit performance meets design specifications, the regime of these tests is commonly referred to as payload in-orbit testing or payload IOT. Meanwhile, with the continuous development of satellite height measurement technology, radar altimeters are carried on a plurality of satellites as effective loads and are mainly used for measuring average sea level height, sea surface wind speed, ocean currents and the like.
At present, no method for detecting the on-orbit performance of the load of the radar altimeter is clear, so that an on-orbit performance testing method based on the effective load of the radar altimeter is needed to evaluate the overall load state of the radar altimeter in real time.
Disclosure of Invention
The invention aims to provide an on-orbit performance detection method, device and equipment based on radar altimeter load, which are used for solving the problem that the whole load state of a radar altimeter cannot be evaluated in real time in the prior art.
In order to achieve the above object, the present invention provides the following technical solutions:
In a first aspect, the present invention provides a radar altimeter load-based on-orbit performance detection method, comprising:
obtaining the observation data of radar altimeter load;
according to sea-land identification data, sea observation element data and longitude and latitude data in the observation data, searching the sea observation element data point by point along the track to obtain a plurality of first data points;
determining the data states of all two adjacent first data points, and obtaining a valid data rechecking result based on the data states;
according to the sea-land identification data, echo type data and longitude and latitude data in the observed data, carrying out point-by-point along-track searching on the echo type data, judging whether the data type of the echo type data is consistent with the data type of the sea-land identification data, and obtaining an echo type detection result based on a judgment result;
according to the sea land identification data, sea surface height correction item data and longitude and latitude data in the observation data, carrying out point-by-point along-track searching on the sea surface height correction item data to obtain a plurality of second data points, determining the data type of each data point in the sea land identification data, determining the data type of the second data point according to the same index value, and obtaining a sea surface height correction item detection result based on the data type of the second data point;
And respectively drawing corresponding detection images based on the effective data rechecking result, the echo type detection result and the sea surface height correction item detection result, and determining the on-orbit performance of the radar altimeter load based on the detection images.
Compared with the prior art, the on-orbit performance detection method based on the radar altimeter load provided by the invention obtains the observation data of the radar altimeter load, and performs ocean area effective data rechecking, echo type checking and sea surface height correction item checking on the radar altimeter load according to the observation data. When the effective data of the ocean area is rechecked, according to the sea-land identification data, the offshore observation element data and the longitude and latitude data in the observation data, the offshore observation element data is searched point by point along the track in real time to obtain a plurality of first data points, the data states of all two adjacent first data points are determined, and whether the defects exist between the two adjacent data points or not is judged based on the data states, so that an effective data rechecking result is obtained. When the echo type is checked, firstly, according to the sea and land identification data, the echo type data and the longitude and latitude data in the observed data, the echo type data is searched point by point along the track in real time, then whether the data type of the echo type data is consistent with the data type of the sea and land identification data is judged, and an echo type detection result is obtained based on the judgment result. When the sea level height correction item is checked, firstly, according to the sea land identification data, the sea level height correction item data and the longitude and latitude data in the observation data, carrying out real-time point-by-point along-track searching on the sea level height correction item data to obtain a plurality of second data points, then determining the data type of each data point in the sea land identification data, determining the data type of the second data point according to the same index value, obtaining a sea level height correction item detection result based on the data type of the second data point, finally, respectively drawing corresponding detection images based on the effective data rechecking result, the echo type detection result and the sea level height correction item detection result, displaying the effective data rechecking result, the echo type detection result and the real-time monitoring result of the sea level height correction item inspection of the radar altimeter load in an intuitive mode, determining the on-track performance of the radar altimeter load based on the detection images, and carrying out real-time evaluation on the whole load state of the radar altimeter. According to the method for detecting the on-orbit performance based on the radar altimeter load, the on-orbit performance data of the radar altimeter load is obtained in real time through the observation data of the radar altimeter, the obtained data are dynamically received according to time, the data quality inspection is efficiently executed according to the method, the sea area effective data rechecking, echo type inspection and sea surface height correction item inspection results are obtained, and the overall load state of the radar altimeter is evaluated in real time according to the inspection results.
In a second aspect, the present invention also provides an on-orbit performance detection device based on radar altimeter load, comprising:
the observation data acquisition module is used for acquiring the observation data of the radar altimeter load;
the effective data rechecking result acquisition module is used for searching the offshore observation element data point by point along the track according to the offshore identification data, the offshore observation element data and the longitude and latitude data in the observation data to obtain a plurality of first data points; determining the data states of all two adjacent first data points, and obtaining a valid data rechecking result based on the data states;
the echo type detection result acquisition module is used for searching the echo type data point by point along the track according to the sea-land identification data, the echo type data and the longitude and latitude data in the observed data, judging whether the data type of the echo type data is consistent with the data type of the sea-land identification data, and obtaining an echo type detection result based on a judgment result;
the sea surface height correction item detection result acquisition module is used for searching the sea surface height correction item data point by point along a track according to the sea land identification data, the sea surface height correction item data and the longitude and latitude data in the observation data to obtain a plurality of second data points, determining the data type of each data point in the sea land identification data, determining the data type of the second data point according to the same index value, and obtaining a sea surface height correction item detection result based on the data type of the second data point;
And the on-orbit performance determining module is used for respectively drawing corresponding detection images based on the effective data rechecking result, the echo type detection result and the sea surface height correction term detection result, and determining the on-orbit performance of the radar altimeter load based on the detection images.
In a third aspect, the present invention also provides an on-orbit performance detection device based on radar altimeter load, comprising:
a processor and a communication interface coupled to the processor; the processor is used for running a computer program or instructions to implement the above-described method for detecting the on-orbit performance based on the radar altimeter load.
The technical effects achieved by the apparatus class scheme provided in the second aspect and the device class scheme provided in the third aspect are the same as those achieved by the method class scheme provided in the first aspect, and are not described herein again.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a flow chart of an on-orbit performance detection method based on radar altimeter load provided by the invention;
FIG. 2 is a flow chart of checking the effective data of the ocean area provided by the invention;
FIG. 3 is a flow chart of echo type inspection provided by the present invention;
FIG. 4 is a flow chart of a sea level correction term inspection provided by the present invention;
FIG. 5 is a chart of the result of rechecking the effective data of the ocean area provided by the invention;
FIG. 6 is a graph of echo type inspection results provided by the present invention;
FIG. 7 is a diagram of sea level elevation correction term inspection results provided by the present invention;
FIG. 8 is a schematic diagram of an on-orbit performance detection device based on radar altimeter load provided by the invention;
fig. 9 is a schematic diagram of an on-orbit performance detection device based on radar altimeter load.
Detailed Description
In order to clearly describe the technical solution of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect. For example, the first threshold and the second threshold are merely for distinguishing between different thresholds, and are not limited in order. It will be appreciated by those of skill in the art that the words "first," "second," and the like do not limit the amount and order of execution, and that the words "first," "second," and the like do not necessarily differ.
In the present invention, the words "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the present invention, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, a and b, a and c, b and c, or a, b and c, wherein a, b, c can be single or multiple.
The invention provides an on-orbit performance detection method, device and equipment based on radar altimeter load, and the technical scheme of the invention is described below with reference to the accompanying drawings:
FIG. 1 is a flow chart of an on-orbit performance detection method based on radar altimeter load, which comprises the following steps:
step 101: obtaining the observation data of radar altimeter load;
the payload refers to equipment which is carried on a spacecraft and is used for carrying out scientific research, technical verification or other tasks, and the payload in the satellite can be an effective device such as an instrument, equipment or a subsystem and the like which can execute high-altitude tasks, and the variety of the payload is wide, including a radar altimeter. The radar altimeter is a radar sensor for sensing an object by transmitting and receiving microwaves, and the existence, speed, direction, distance and angle of the motion of the object are calculated by utilizing the frequency difference of the transmitted and received signals through a formula.
The radar altimeter original data is defined as 0-level data, the 0-level data is defined as 1-level products after being preprocessed through a Pass and the like, and the 1-level data is defined as 2-level products after being processed through height measurement error correction, waveform re-tracking and the like. The data product of the 2-level data is a standard data product, and is used by users through business distribution. The 2-level product data is divided into three products, namely temporary geophysical data (Interim Geophysical Data Records, IGDR), remote sensing geophysical data (Sensor Geophysical Data Records, SGDR) and geophysical data (Geophysical Data Records, GDR), and the data are all 2-level product data, so that the inspection content is more comprehensive than that of 1-level product data.
Step 102: and searching the offshore observation element data point by point along the track according to the offshore identification data, the offshore observation element data and the longitude and latitude data in the observation data to obtain a plurality of first data points.
The sea-land identification data is a sea-land mask data set surface_type in the level 2 data of the radar altimeter, all data values of the data set have three conditions, and can distinguish sea, land and offshore conditions, so that the data set surface_type is called as sea-land identification data, specifically, a value of 0 indicates that the position surface type of the data point is ocean, a value of 1 indicates that the position surface type of the data point is inland lake or offshore, and a value of 2 indicates that the position surface type of the data point is land.
The marine observation element data refer to each data set in the level 2 data of the radar altimeter, the data contained in one data set has a plurality of data values, because each data value corresponds to a geographic position and is customarily called as a data point, the key element is selected according to the load characteristic and the product characteristic, the effective data condition of the marine area can be checked by utilizing four data sets in the level 2 data, namely range_ku, range_c, sig0_ku and sig0_c, the four data respectively represent ku wave band, c wave band height measurement distance and corresponding wave band corrected backscattering coefficient, and the names of the four data sets are configurable and are acquired from the configuration file.
The latitude and longitude data is coordinate data composed of latitude and longitude, and a spherical coordinate system of a space on the earth is defined by using a spherical surface of a three-dimensional space, so that any position on the earth can be marked.
Step 103: determining the data states of all two adjacent first data points, and obtaining a valid data rechecking result based on the data states;
the two adjacent first data points refer to two adjacent data points located at sea, and an effective data rechecking result is obtained according to the data states of the two adjacent data points located at sea.
Step 104: and searching the echo type data point by point along the track according to the sea and land identification data, the echo type data and the longitude and latitude data in the observation data, judging whether the data type of the echo type data is consistent with the data type of the sea and land identification data, and obtaining an echo type detection result based on a judgment result.
The echo type data refers to the surface type of waves reflected by the earth received by the altimeter, the echo type can be subdivided into three types of sea, land and offshore, and the echo type data is data capable of identifying the echo type in radar altimeter level 2 data, and comprises an altimeter echo type (alt_echo_type) data set and a radiometer surface type (rad_surface_type) data set. The alt_echo_type data set means altimeter echo type, the value is 0 or 1,0 means that the echo is from ocean, and 1 means that the echo is from non-ocean; the rad_surface_type dataset means radiometer surface type (correction radiometers can provide correction for altimeters) with values of 0, 1, 2,0 for open ocean, 1 for offshore ocean, 2 for land.
Step 105: and searching the sea surface height correction item data point by point along a track according to the sea land identification data, the sea surface height correction item data and the longitude and latitude data in the observation data to obtain a plurality of second data points, determining the data type of each data point in the sea land identification data, determining the data type of the second data point according to the same index value, and obtaining a sea surface height correction item detection result based on the data type of the second data point.
The sea level height correction term data are 9 data sets, and the nine data sets belong to nine data sets in radar altimeter level 2 data, are determined by a sea level height calculation formula, and are obtained by reading corresponding data set names in the radar altimeter level 2 data.
Step 106: and respectively drawing corresponding detection images based on the effective data rechecking result, the echo type detection result and the sea surface height correction item detection result, and determining the on-orbit performance of the radar altimeter load based on the detection images.
According to the effective data rechecking result, the echo type detection result and the sea surface height correction term detection result, drawing a detection image corresponding to the effective data rechecking result as shown in fig. 5; as shown in fig. 6, a detection image corresponding to the echo type detection result is drawn; as shown in fig. 7, drawing a detection image corresponding to the detection result of the sea level height correction term, displaying the effective data rechecking, echo type checking and real-time monitoring result of sea level height correction term checking of the radar altimeter load in an intuitive form, determining the on-orbit performance of the radar altimeter load based on the detection image, and completing real-time evaluation of the whole load state of the radar altimeter.
Specifically, the calculation formula (1) of the proportion of the marine effective data is adopted when the effective data rechecking result is calculated:
（1）
wherein num_ocean represents the amount of data located at sea selected using the surface_type dataset; num_ocean_valid represents the amount of valid data in range_ku, range_c, sigma0_ku, and sigma0_c located in the ocean region.
The echo type normal proportion calculation formula (2) is adopted when the echo type detection result is calculated:
（2）
wherein num_total represents the total data amount of the alt_echo_type data set and the rad_surface_type data set; num_normal represents the echo type in the alt_echo_type data set and the rad_surface_type data set rechecking the normal data amount.
When the sea surface height correction term detection result is calculated, a normal proportion calculation formula (3) of the sea surface height correction term is adopted:
（3）
wherein num_ocean represents the amount of data located at sea selected using the surface_type dataset; num_normal represents the amount of data identified as normal in the sea level altitude correction term detection step.
In the effective data rechecking, echo type detection and sea surface height correction term detection processes, calculating through formulas (1), (2) and (3) to obtain an effective data rechecking result, an echo type detection result and a sea surface height correction term detection result, and accordingly evaluating the on-orbit performance of the radar altimeter load according to the calculation result.
As an optional implementation manner, the determining the data states of all two adjacent first data points, and obtaining valid data rechecking results based on the data states, includes:
searching all adjacent two data points located on the sea point by point according to the sea-land identification data to obtain all the adjacent two first data points;
judging whether the two adjacent first data points are filling values or not;
when filling values exist in the two current adjacent first data points, determining that the valid data rechecking results corresponding to the two current adjacent first data points are filling;
when the filling value does not exist in the two current adjacent first data points, respectively acquiring position coordinates of the two adjacent first data points based on the longitude and latitude data, and determining the distance between the two current adjacent first data points;
judging whether the distance between two current adjacent first data points exceeds a preset threshold value or not; when the distance exceeds a preset threshold value, determining that the effective data rechecking results corresponding to the two current adjacent first data points are abnormal; when the distance does not exceed a preset threshold value, determining that the effective data rechecking results corresponding to the two current adjacent first data points are normal;
And (3) performing cyclic operation until all adjacent first data points are checked, and obtaining the effective data checking result.
The radar altimeter is shown in fig. 2, the radar altimeter is obtained, after sea land identification data, sea observation element data, longitude data and latitude data in the observation data are read, all adjacent two data points located on the sea are searched point by point along a track according to the sea land identification data, all adjacent two first data points are obtained, longitude and latitude values of the first data points are recorded, and an increase of 1 of sea data volume is recorded, wherein the increase of 1 of sea data volume is the number of data points located on the sea position for accumulating the data volume of the data set, and the increase of 1 of sea data volume is the number of data points located on the sea position for calculating the proportion of the data points observed on the sea by the altimeter.
For any two adjacent two first data points, judging whether filling values exist in the current two-point observation elements or not: when filling values exist in the two current adjacent first data points, determining that the valid data rechecking results corresponding to the two current adjacent first data points are filling, and marking the results as filling; when the filling value does not exist in the two current adjacent first data points, respectively acquiring position coordinates of the two adjacent first data points based on the longitude and latitude data, determining the distance between the two current adjacent first data points, judging whether the two adjacent first data points have the missing according to a distance threshold value, and determining that the effective data corresponding to the two current adjacent first data points is abnormal when the distance exceeds a preset threshold value, wherein the result is marked as abnormal; and when the distance does not exceed a preset threshold value, determining that the valid data rechecking results corresponding to the two current adjacent first data points are normal, and marking the results as normal. Determining whether all data points along the track are inspected, and when all data points along the track are not inspected, circulating until all adjacent first data points are inspected; when all data points along the track are inspected, the effective data rechecking process of the ocean area is finished to obtain the effective data rechecking result, the effective data rechecking result is checked by using the method provided by the invention, the result is checked in three minutes on average, the execution time of the check is very short, and the effective data rechecking of the ocean area can be efficiently performed.
As an optional implementation manner, the searching the offshore observation element data along the track point by point according to the offshore identification data, the offshore observation element data and the longitude and latitude data in the observation data to obtain a plurality of first data points includes:
acquiring a Ku wave band data set, a C wave band height measurement distance set, a Ku wave band corrected backscattering coefficient data set and a C wave band corrected backscattering coefficient data set in the marine observation element data;
and reading the sea land identification data, four data sets in the marine observation element data and the longitude and latitude data, and searching the four data sets along the track point by point to obtain a plurality of first data points.
The method comprises the steps of performing real-time processing on original data obtained by radar altimeter observation of on-orbit operation to form radar altimeter second-level (L2) data for real-time data quality inspection, and inspecting the effective data condition of a marine area by using a Ku band data set (range_ku), a C band altimetric distance set (range_c), a Ku band corrected back scattering coefficient data set (sig0_ku) and a C band corrected back scattering coefficient data set (sig0_c) in the L2-level data.
Specifically, the names of the four data sets are configurable and are obtained from a configuration file. Firstly, reading in a sea-land identification data set, a longitude data set and latitude data set data, and acquiring a data set name from a configuration file for reading in the checked data set data. And then reading data of the data set, searching the data to be checked along the track point by point, searching two adjacent data points located at sea according to sea-land identification data, recording a longitude-latitude data set, firstly judging whether the observed values of the two data points are filling values or not, if the filling values exist in the two data points, marking the result as filling, recording as 2, if the filling values do not exist in the two data points, acquiring longitude-latitude data of the two points according to the longitude-latitude data set data, acquiring longitude-latitude values through the same index value, calculating the distance between the two points according to the longitude-latitude data, marking the result as abnormal if the distance exceeds a threshold value of 7KM, recording as 1, otherwise marking the result as normal, recording as 0, so far, sequentially continuing searching, carrying out the same real-time processing on the rest data sets until the data points of the data set are all checked to finish, and thus finishing the real-time dynamic evaluation of the whole load state of the radar altimeter.
As an optional implementation manner, the searching the echo type data along the track point by point according to the sea-land identification data, the echo type data and the longitude and latitude data in the observed data includes:
obtaining an inspection data set in the echo type data and a ground surface type data set in the sea and land identification data, and searching the inspection data set point by point along a track; the test data set includes an altimeter echo type data set and a radiometer surface type data set.
The sea land identification data has a surface type data set (surface_type), and the value of the surface_type has three conditions: first, the value of 0:ocean is 0, which indicates that the location surface type of the data point is ocean; second, a value of 1 is a rake_closed_sea, indicating that the location of the data point is an inland lake or offshore; third, the 2:land value is 2, indicating that the location surface type of the data point is land. The echo type data has a test data set, wherein the test data set comprises an altimeter echo type data set (alt_echo_type) and a radiometer surface type data set (rad_surface_type), the value of alt_echo_type is 0 or 1,0 represents that the echo is from ocean, and 1 represents that the echo is from non-ocean; the rad_surface_type value is 0, 1, 2,0 represents open ocean, 1 represents offshore ocean, 2 represents land.
As shown in FIG. 3, sea Liu Yanmo data (surface_type, 0:ocean; 1:lake_closed_sea; 2:land) in the produced L2 data are processed in real time by using a radar altimeter, and a point-by-point track search is performed on the check data set to check whether the data in the data set alt_echo_type and the data set rad_surface_type are accurate or not, respectively. For the alt_echo_type data set, checking whether 0 and 1 in the alt_echo_type are in one-to-one correspondence with 0 and 1 in the surface_type; for the rad_surface_type data set, whether 0, 1 and 2 in the rad_surface_type are in one-to-one correspondence with the 0, 1 and 2 positions in the surface_type is checked.
As an optional implementation manner, the determining whether the data type of the echo type data is consistent with the data type of the sea land identification data, and obtaining the echo type detection result based on the determination result, includes:
determining data types of the altimeter echo type data set, the radiometer surface type data set and the surface type data set; the data types of the altimeter echo type data set include marine and non-marine; data types of the radiometer surface type data set include ocean, offshore ocean and land; the data types of the surface type dataset include ocean, offshore ocean and land;
Judging whether the data type of the echo type data is consistent with the data type of the sea land identification data; when the data type of the inspection data set is consistent with the data type of the sea land identification data, determining that the echo type detection result is normal; and when the data type of the inspection data set is inconsistent with the data type of the sea land identification data, determining that the echo type detection result is abnormal.
As shown in fig. 3, whether the echo type in the altimeter echo type data set (alt_echo_type) is correct or not is checked, the data contents of the sea land identification data set surface_type and the check data set alt_echo_type are read in, and the longitude data set and the latitude data set are read in. Since there are two cases where each data point of the alt_echo_type takes a value, 0 identifies ocean_like, and 1 identifies non_ocean_like, starting from the index value 0, the value of the data point of the alt_echo_type and the value of the data point of the surface_type of the current index value are acquired.
If the data point value of the alt_echo_type is 0 and the data point value of the surface_type is 1 or 0, the echo type of the data point of the alt_echo_type is checked correctly, and normally recorded as 0, which means that the echo type is consistent with the sea land identification data value, and meanwhile, the longitude and latitude data value of the point is recorded; if the data point value of the alt_echo_type is 0 and the data point value of the surface_type is 2, checking the echo type of the data point of the alt_echo_type for abnormality, recording the abnormality as 1, indicating that the echo type is inconsistent with the sea land identification data value, and recording the longitude and latitude data value of the point; if the data point value of the alt_echo_type is 1 and the data point value of the surface_type is 1 or 0, checking the echo type of the data point of the alt_echo_type for abnormality, recording the abnormality as 1, indicating that the echo type is inconsistent with the sea land identification data value, and recording the longitude and latitude data value of the point; if the data point value of alt_echo_type is 1 and the data point value of surface_type is 2, the echo type of the data point of alt_echo_type is checked correctly, and normally recorded as 0, which means that the echo type coincides with the sea land identification data value, and the longitude and latitude data value of the point is recorded. And so on, until all data points of the alt_echo_type are checked, the check of the echo type in the altimeter echo type data set (alt_echo_type) is completed in real time and efficiently.
Similarly, whether the echo type in the radiometer surface type data set (rad_surface_type) is correct is checked, and as three values of 0, 1 and 2 are provided for each data point value of the rad_surface_type, the three values are in one-to-one correspondence with the value of the surface_type, for the rechecking of the rad_surface_type, only the index value 0 is needed, whether the values of the two data points are identical is compared, the identity is marked as normal 0, the difference is marked as abnormal 1, the values of longitude and latitude are recorded, and until all the data points are checked, the checking of the echo type in the radiometer surface type data set (rad_surface_type) is completed in real time and high efficiency.
As an optional implementation manner, obtaining the sea level height correction term detection result based on the data type of the second data point includes:
obtaining the data type of the second data point according to attribute list information in the sea surface height correction item data; the data type of the second data point comprises a filling value and a non-filling value;
when the data type of the second data point is a filling value, determining that the sea surface height correction term detection result corresponding to the target second data point is filling;
when the data type of the second data point is a non-filling value and the target second data point is in a preset threshold range, determining that the sea surface height correction term detection result corresponding to the target second data point is normal; and when the data type of the second data point is a non-filling value and the target second data point is not in a preset threshold range, determining that the sea surface height correction item detection result corresponding to the target second data point is abnormal.
As shown in fig. 4, according to the attribute list information in the sea level height correction term data, the data type of the second data point is obtained, and whether the data type of the second data point is a filling value is determined: when the data type of the second data point is a filling value, determining that the sea surface height correction term detection result corresponding to the target second data point is filling; when the data type of the second data point is a non-filling value and the target second data point is in a preset threshold range, determining that the sea surface height correction term detection result corresponding to the target second data point is normal; and when the data type of the second data point is a non-filling value and the target second data point is not in a preset threshold range, determining that the sea surface height correction item detection result corresponding to the target second data point is abnormal. Specifically, nine data sets for calculating sea level height in radar altimeter L2 data are utilized to check sea level height correction items, and nine data sets range_ku, iono_corr_alt_ku, model_dry_tropo_corr, rad_wet_tropo_corr, sea_state_bias_ku, solid_earth_tide, ocean_tide_sol1, pole_tide and inv_bar_corr are read in.
Wherein range_ku is one data set in L2 level data, is a data set name, and means that 1HzKu band corrects altimeter ranging, namely the distance from the altimeter to the sea surface. iono_corr_alt_ku is one dataset in the L2 level data, is a dataset name, and means Ku band altimeter ionospheric correction. model_dry_tropo_corr is one dataset in the L2 level data, is one dataset name, and means model atmospheric dry tropospheric correction. rad_wet_tropo_corr is one dataset in the L2 level data, is one dataset name, meaning radiometer atmospheric moisture tropospheric correction. sea_state_bias_ku is one data set in the L2 level data, is one data set name, and means sea state deviation correction in the Ku band. The solid_earth_tide is one data set in the L2 level data, is one data set name, and means the solid earth tide level. ocean_tide_sol1 is one data set in the L2 level data, and is one data set name, which means ocean tide height. pole_tide is one data set in the L2 level data, is one data set name, and means polar tide height. inv_bar_corr is one data set in the L2 level data, is one data set name, and means atmospheric back pressure correction.
After nine data sets are read, a longitude data set, a latitude data set and a sea land identification data set are read, and three conditions of 0, 1 and 2 are adopted for the sea land identification data: 2, 0 and 1 are marked on land, sea and offshore, and can be judged according to the data point value of the sea-land marking data set corresponding to the same index value, 2 is land, and 0 or 1 is the position of the sea. Starting from an index value 0, acquiring a data point value corresponding to a current index value of sea-land identification data, judging whether the value is 2, if so, adding 1 to the index value, continuing searching, if not, acquiring nine data point values corresponding to the current index value, sequentially judging whether the data point values are filling values, and if so, marking the result as filling, and determining that the sea surface height correction item detection result corresponding to the target second data point is filling; judging whether the threshold value is exceeded according to the threshold value range if the values of only nine data sets are not filling values, if so, identifying the result as abnormal, and determining that the sea surface height correction item detection result corresponding to the target second data point is abnormal; if the data types of all the second data points are checked, the sea surface height correction item check of the nine data sets of the sea surface height is completed in real time and efficiently.
As an optional implementation manner, the obtaining the data type of the second data point according to the attribute list information in the sea level height correction term data includes:
acquiring attribute list information in the sea level height correction item data, and extracting filling value information in the attribute list information;
judging whether the data value of the second data point is equal to the filling value information corresponding to the second data point or not, and obtaining the data type of the second data point; when the data value of the second data point is equal to the filling value information corresponding to the second data point, the data type of the second data point is a filling value; and when the data value of the second data point is not equal to the filling value information corresponding to the second data point, the data type of the second data point is a non-filling value.
And acquiring a value of the attribute, namely a filling value of the data set, and judging whether the data value of the second data point is equal to the filling value information corresponding to the second data point or not to acquire the data type of the second data point.
As an alternative embodiment, before the acquiring the observed data of the radar altimeter load, the method includes:
Acquiring the original data of the radar altimeter load;
carrying out orbit division preprocessing on the original data to obtain initial data of the radar altimeter load;
and carrying out height measurement error correction processing and waveform re-tracking processing on the initial data to obtain the observed data of the radar altimeter load.
The method comprises the steps of obtaining initial data by carrying out orbit-dividing preprocessing on the original data, and carrying out height measurement error correction processing and waveform re-tracking processing on the initial data to obtain secondary observation data of the radar altimeter load.
Based on the same idea, the present invention provides an on-orbit performance detection device based on radar altimeter load, as shown in fig. 8, the device comprises:
an observation data acquisition module 801, configured to acquire observation data of a radar altimeter load;
the effective data rechecking result obtaining module 802 is configured to perform point-by-point along-track searching on the offshore observation element data according to the offshore identification data, the offshore observation element data and the longitude and latitude data in the observation data, so as to obtain a plurality of first data points; determining the data states of all two adjacent first data points, and obtaining a valid data rechecking result based on the data states;
An echo type detection result obtaining module 803, configured to perform point-by-point along-track searching on the echo type data according to the sea-land identification data, the echo type data, and the longitude and latitude data in the observation data, determine whether the data type of the echo type data is consistent with the data type of the sea-land identification data, and obtain an echo type detection result based on the determination result;
the sea level height correction term detection result obtaining module 804 is configured to search the sea level height correction term data along a track point by point according to the sea land identification data, the sea level height correction term data and the longitude and latitude data in the observation data, obtain a plurality of second data points, determine a data type of each data point in the sea land identification data, determine a data type of the second data point according to the same index value, and obtain a sea level height correction term detection result based on the data type of the second data point;
and an on-orbit performance determining module 805, configured to draw corresponding detection images respectively based on the valid data rechecking result, the echo type detection result, and the sea level height correction term detection result, and determine on-orbit performance of the radar altimeter load based on the detection images.
Optionally, the valid data review result obtaining module 802 includes:
the first data point acquisition unit is used for searching all adjacent two data points located on the sea point by point according to the sea land identification data to obtain all the adjacent two first data points;
the first data point filling value judging unit is used for judging whether any two adjacent first data points are filling values or not;
the first data point filling value determining unit is used for determining that the effective data rechecking results corresponding to the two current adjacent first data points are filling when filling values exist in the two current adjacent first data points;
a first data point distance acquiring unit, configured to acquire position coordinates of two adjacent first data points based on the longitude and latitude data, respectively, and determine a distance between the two first data points when there is no filling value in the two first data points;
the first data point distance judging unit is used for judging whether the distance between two current adjacent first data points exceeds a preset threshold value or not; when the distance exceeds a preset threshold value, determining that the effective data rechecking results corresponding to the two current adjacent first data points are abnormal; when the distance does not exceed a preset threshold value, determining that the effective data rechecking results corresponding to the two current adjacent first data points are normal;
And the first data point circulation operation unit is used for performing circulation operation until all adjacent first data points are checked, and obtaining the effective data check result.
Optionally, the valid data review result obtaining module 802 includes:
four data set acquisition units, which are used for acquiring a Ku wave band data set, a C wave band height measurement distance set, a Ku wave band corrected backscattering coefficient data set and a C wave band corrected backscattering coefficient data set in the marine observation element data;
and the four data set reading units are used for reading the four data sets in the marine land identification data, the marine observation element data and the longitude and latitude data, and searching the four data sets along the track point by point to obtain a plurality of first data points.
Optionally, the echo type detection result obtaining module 803 includes:
the system comprises an inspection data set and earth surface type data set acquisition unit, a data processing unit and a data processing unit, wherein the inspection data set and earth surface type data set acquisition unit is used for acquiring an inspection data set in the echo type data and an earth surface type data set in the sea land identification data, and searching the inspection data set point by point along a track; the test data set includes an altimeter echo type data set and a radiometer surface type data set.
Optionally, the echo type detection result obtaining module 803 includes:
a data type definition unit for determining data types of the altimeter echo type data set, the radiometer surface type data set and the surface type data set; the data types of the altimeter echo type data set include marine and non-marine; data types of the radiometer surface type data set include ocean, offshore ocean and land; the data types of the surface type dataset include ocean, offshore ocean and land;
the echo type judging unit is used for judging whether the data type of the echo type data is consistent with the data type of the sea-land identification data; when the data type of the inspection data set is consistent with the data type of the sea land identification data, determining that the echo type detection result is normal; and when the data type of the inspection data set is inconsistent with the data type of the sea land identification data, determining that the echo type detection result is abnormal.
Optionally, the sea level height correction term detection result acquisition module 804 includes:
a second data point data type obtaining unit, configured to obtain a data type of the second data point according to attribute list information in the sea surface altitude correction term data; the data type of the second data point comprises a filling value and a non-filling value;
A second data point filling value determining unit, configured to determine that the sea surface height correction term detection result corresponding to the target second data point is filling when the data type of the second data point is a filling value;
a second data point non-filling value determining unit, configured to determine that, when the data type of the second data point is a non-filling value and the target second data point is within a preset threshold range, the sea surface height correction term detection result corresponding to the target second data point is normal; and when the data type of the second data point is a non-filling value and the target second data point is not in a preset threshold range, determining that the sea surface height correction item detection result corresponding to the target second data point is abnormal.
Optionally, the second data point data type acquisition unit includes:
a filling value information obtaining subunit, configured to obtain attribute list information in the sea level height correction term data, and extract filling value information in the attribute list information;
a data type obtaining unit subunit, configured to determine whether a data value of the second data point is equal to the padding value information corresponding to the second data point, and obtain a data type of the second data point; when the data value of the second data point is equal to the filling value information corresponding to the second data point, the data type of the second data point is a filling value; and when the data value of the second data point is not equal to the filling value information corresponding to the second data point, the data type of the second data point is a non-filling value.
Optionally, the apparatus in fig. 8 further includes:
the original data acquisition module is used for acquiring the original data of the radar altimeter load;
the initial data acquisition module is used for carrying out orbit division preprocessing on the initial data to obtain initial data of the radar altimeter load;
and the observation data acquisition module is used for carrying out height measurement error correction processing and waveform re-tracking processing on the initial data to obtain the observation data of the radar altimeter load.
Based on the same idea, the present invention provides an on-orbit performance detection device based on radar altimeter load, as shown in fig. 9, the device comprising:
a processor and a communication interface coupled to the processor; the processor is used for running a computer program or instructions to implement the above-described method for detecting the on-orbit performance based on the radar altimeter load.
As shown in FIG. 9, the processor may be a general purpose central processing unit (central processing unit, CPU), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the program of the present invention. The communication interface may be one or more. The communication interface may use any transceiver-like device for communicating with other devices or communication networks.
As shown in fig. 9, the terminal device may further include a communication line. The communication line may include a pathway to communicate information between the aforementioned components.
Optionally, as shown in fig. 9, the terminal device may further include a memory. The memory is used for storing computer-executable instructions for executing the scheme of the invention, and the processor is used for controlling the execution. The processor is configured to execute computer-executable instructions stored in the memory, thereby implementing the method provided by the embodiment of the invention.
In a specific implementation, as one embodiment, as shown in FIG. 9, the processor may include one or more CPUs, such as CPU0 and CPU1 in FIG. 9.
In a specific implementation, as an embodiment, as shown in fig. 9, the terminal device may include a plurality of processors, such as the processors in fig. 9. Each of these processors may be a single-core processor or a multi-core processor.
The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general purpose processor, a digital signal processor (digital signal processing, DSP), an ASIC, an off-the-shelf programmable gate array (field-programmable gate array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
The scheme provided by the embodiment of the invention is mainly introduced from the interaction point of the modules. It is to be understood that, in order to achieve the above-described functions, they comprise corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
Although the invention is described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
Although the invention has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the invention. Accordingly, the specification and drawings are merely exemplary illustrations of the present invention as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the invention. It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The method for detecting the on-orbit performance based on the radar altimeter load is characterized by comprising the following steps of:
obtaining the observation data of radar altimeter load;
according to sea-land identification data, sea observation element data and longitude and latitude data in the observation data, searching the sea observation element data point by point along the track to obtain a plurality of first data points;
determining the data states of all two adjacent first data points, and obtaining a valid data rechecking result based on the data states;
According to the sea-land identification data, echo type data and longitude and latitude data in the observed data, carrying out point-by-point along-track searching on the echo type data, judging whether the data type of the echo type data is consistent with the data type of the sea-land identification data, and obtaining an echo type detection result based on a judgment result;
according to the sea land identification data, sea surface height correction item data and longitude and latitude data in the observation data, carrying out point-by-point along-track searching on the sea surface height correction item data to obtain a plurality of second data points, determining the data type of each data point in the sea land identification data, determining the data type of the second data point according to the same index value, and obtaining a sea surface height correction item detection result based on the data type of the second data point;
and respectively drawing corresponding detection images based on the effective data rechecking result, the echo type detection result and the sea surface height correction item detection result, and determining the on-orbit performance of the radar altimeter load based on the detection images.
2. The method for detecting the on-orbit performance based on the radar altimeter load according to claim 1, wherein said determining the data states of all the two adjacent first data points, based on which the valid data check results are obtained, comprises:
Searching all adjacent two data points located on the sea point by point according to the sea-land identification data to obtain all the adjacent two first data points;
judging whether the two adjacent first data points are filling values or not;
when filling values exist in the two current adjacent first data points, determining that the valid data rechecking results corresponding to the two current adjacent first data points are filling;
when the filling value does not exist in the two current adjacent first data points, acquiring position coordinates of the two adjacent first data points based on longitude and latitude data respectively, and determining the distance between the two current adjacent first data points;
judging whether the distance between two current adjacent first data points exceeds a preset threshold value or not; when the distance exceeds a preset threshold value, determining that the effective data rechecking results corresponding to the two current adjacent first data points are abnormal; when the distance does not exceed a preset threshold value, determining that the effective data rechecking results corresponding to the two current adjacent first data points are normal;
And (3) performing cyclic operation until all adjacent first data points are checked, and obtaining the effective data checking result.
3. The method for detecting the on-orbit performance based on the radar altimeter load according to claim 1, wherein the searching the offshore observation element data point by point along the orbit according to the offshore identification data, the offshore observation element data and the longitude and latitude data in the observation data to obtain a plurality of first data points includes:
acquiring a Ku wave band data set, a C wave band height measurement distance set, a Ku wave band corrected backscattering coefficient data set and a C wave band corrected backscattering coefficient data set in the marine observation element data;
and reading the sea-land identification data, four data sets in the marine observation element data and longitude and latitude data, and searching the four data sets along the track point by point to obtain a plurality of first data points.
4. The radar altimeter load-based on-orbit performance detection method according to claim 1, wherein the performing point-by-point along-orbit search on the echo type data according to the sea land identification data, echo type data and longitude and latitude data in the observation data includes:
Obtaining an inspection data set in the echo type data and a ground surface type data set in the sea and land identification data, and searching the inspection data set point by point along a track; the test data set includes an altimeter echo type data set and a radiometer surface type data set.
5. The method for detecting the on-orbit performance based on the radar altimeter load according to claim 4, wherein said determining whether the data type of the echo type data is identical to the data type of the sea land identification data or not, based on the determination result, obtaining the echo type detection result includes:
determining data types of the altimeter echo type data set, the radiometer surface type data set and the surface type data set; the data types of the altimeter echo type data set include marine and non-marine; data types of the radiometer surface type data set include ocean, offshore ocean and land; the data types of the surface type dataset include ocean, offshore ocean and land;
judging whether the data type of the echo type data is consistent with the data type of the sea land identification data; when the data type of the inspection data set is consistent with the data type of the sea land identification data, determining that the echo type detection result is normal; and when the data type of the inspection data set is inconsistent with the data type of the sea land identification data, determining that the echo type detection result is abnormal.
6. The radar altimeter load based on-orbit performance detection method according to claim 1, wherein obtaining the sea surface altitude correction term detection result based on the data type of the second data point comprises:
obtaining the data type of the second data point according to attribute list information in the sea surface height correction item data; the data type of the second data point comprises a filling value and a non-filling value;
when the data type of the second data point is a filling value, determining that the sea surface height correction term detection result corresponding to the target second data point is filling;
when the data type of the second data point is a non-filling value and the target second data point is in a preset threshold range, determining that the sea surface height correction term detection result corresponding to the target second data point is normal; and when the data type of the second data point is a non-filling value and the target second data point is not in a preset threshold range, determining that the sea surface height correction item detection result corresponding to the target second data point is abnormal.
7. The method for detecting the on-orbit performance based on the radar altimeter load according to claim 6, wherein said obtaining the data type of the second data point from the attribute list information in the sea surface altitude correction term data includes:
Acquiring attribute list information in the sea level height correction item data, and extracting filling value information in the attribute list information;
judging whether the data value of the second data point is equal to the filling value information corresponding to the second data point or not, and obtaining the data type of the second data point; when the data value of the second data point is equal to the filling value information corresponding to the second data point, the data type of the second data point is a filling value; and when the data value of the second data point is not equal to the filling value information corresponding to the second data point, the data type of the second data point is a non-filling value.
8. The method for detecting the on-orbit performance based on the radar altimeter load according to claim 1, wherein before the acquisition of the observed data of the radar altimeter load, further comprising:
acquiring the original data of the radar altimeter load;
carrying out orbit division preprocessing on the original data to obtain initial data of the radar altimeter load;
and carrying out height measurement error correction processing and waveform re-tracking processing on the initial data to obtain the observed data of the radar altimeter load.
9. On-orbit performance detection device based on radar altimeter load, characterized by comprising:
the observation data acquisition module is used for acquiring the observation data of the radar altimeter load;
the effective data rechecking result acquisition module is used for searching the offshore observation element data point by point along the track according to the offshore identification data, the offshore observation element data and the longitude and latitude data in the observation data to obtain a plurality of first data points; determining the data states of all two adjacent first data points, and obtaining a valid data rechecking result based on the data states;
the echo type detection result acquisition module is used for searching the echo type data point by point along the track according to the sea-land identification data, the echo type data and the longitude and latitude data in the observed data, judging whether the data type of the echo type data is consistent with the data type of the sea-land identification data, and obtaining an echo type detection result based on a judgment result;
the sea surface height correction item detection result acquisition module is used for searching the sea surface height correction item data point by point along a track according to the sea land identification data, the sea surface height correction item data and the longitude and latitude data in the observation data to obtain a plurality of second data points, determining the data type of each data point in the sea land identification data, determining the data type of the second data point according to the same index value, and obtaining a sea surface height correction item detection result based on the data type of the second data point;
And the on-orbit performance determining module is used for respectively drawing corresponding detection images based on the effective data rechecking result, the echo type detection result and the sea surface height correction term detection result, and determining the on-orbit performance of the radar altimeter load based on the detection images.
10. An on-orbit performance detection device based on radar altimeter load, comprising:
a processor and a communication interface coupled to the processor; the processor is configured to execute a computer program or instructions to implement the radar altimeter load based on-orbit performance detection method according to any one of claims 1 to 8.
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| 基于干涉测量的宽刈幅测高技术及其应用研究;赖元友;;测绘与空间地理信息;20190425(第04期);全文 * |
| 星载微波散射计系统仿真、性能评估与优化;郎姝燕;中国优秀硕士学位论文全文数据库 信息科技辑 (月刊);20100315(第03期);全文 * |
| 高分辨率雷达遥感数据在土地利用遥感监测中的应用技术研究;温礼;中国博士学位论文全文数据库 基础科学辑 (月刊);20190515(第05期);全文 * |
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