CN103412963B - optical remote sensing satellite data obtaining method - Google Patents
optical remote sensing satellite data obtaining method Download PDFInfo
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- CN103412963B CN103412963B CN201310398301.XA CN201310398301A CN103412963B CN 103412963 B CN103412963 B CN 103412963B CN 201310398301 A CN201310398301 A CN 201310398301A CN 103412963 B CN103412963 B CN 103412963B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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Abstract
The invention relates to the technical field of remote sensing satellites, and relates to an optical remote sensing satellite data obtaining method. The method comprises the following steps of establishing a weather database, wherein weather data is classified and stored in the weather database according to monitoring geological locations and monitoring time; establishing an optical remote sensing satellite running model; utilizing the optical remote sensing satellite running model to simulate and shoot up to obtain simulation image data; determining an actual image geological location and actual image obtaining time corresponding to the simulation image data; according to the actual image geological location and the actual image obtaining time, calling the corresponding weather data from the database; according to the called weather data, judging the influence of the weather data on the availability of the simulation image data; according to the judging result of all simulation image data, generating a satellite image receiving schedule; and enabling a ground receiving terminal to receive the image data sent from the optical remote sensing satellite according to the satellite image receiving schedule. The method has the advantage that the image data received by the ground receiving terminal is available.
Description
Technical field
The present invention relates to remote sensing satellite technical field, in particular to a kind of optical remote sensing
Satellite data acquisition methods.
Background technology
In correlation technique, it is that Optical remote satellite exists that Optical remote satellite obtains the method for data
In track running, shooting obtains image data, and image data shooting obtained sends
To ground receiver end.
It is more serious that the captured image data obtained of Optical remote satellite is affected ratio by weather,
In the case of weather conditions are bad, the captured image data obtained of Optical remote satellite may
The atural object in image capturing range can be made unintelligible or invisible because of cloud and mist covering, reduce image number
According to value so that the image data of acquisition does not meets use demand, and ground receiver
End cannot prejudge whether the data of Optical remote satellite transmission meet use demand, can only
The passive image data receiving Optical remote satellite transmission.
Summary of the invention
It is an object of the invention to provide Optical remote satellite data capture method, on solving
The problem stated.
Provide Optical remote satellite data capture method in an embodiment of the present invention, including:
Set up meteorogical phenomena database, according to monitoring geographical position and monitoring in described meteorogical phenomena database
Chronological classification, storage had meteorological data；
Set up Optical remote satellite moving model；
The simulation shooting of described Optical remote satellite moving model simulated optical remote sensing satellite is utilized to obtain
Image data intended by delivery；
Determine the actual image geographical position corresponding to described analog image data, determine simultaneously
Obtain the actual image capturing time corresponding to the simulated time of described analog image data；
During according to the described actual image geographical position determined and described actual image capturing
Between, transfer from described meteorogical phenomena database and described actual image geographical position and described reality
The meteorological data that the image time is all corresponding；
According to the described meteorological data transferred, it is judged that described meteorological data is to described analog image
The impact of availability of data；
Judged result according to all described analog image data generates satellite image and receives the time
Table；
Ground receiver end receives timetable reception Optical remote satellite according to described satellite image and sends out
The image data sent.
Optical remote satellite data capture method is provided in the above embodiment of the present invention, should
Method initially sets up meteorogical phenomena database and Optical remote satellite moving model；Utilize optics distant
Sense dummy satellite can be simulated the Optical remote satellite simulation shooting of reality and be obtained analog image number
According to, and combine the meteorological data in meteorogical phenomena database and judge that meteorological data is to analog image number
According to impact, according to judge result know in advance Optical remote satellite run sometime
The availability of the image data in certain region that shooting obtains, and raw according to the result judged
Becoming satellite image to receive timetable, ground receiver end receives timetable according to satellite image can
Prejudge out the availability of the image data of reception, thus ensure what ground receiver end received
Image data is available.
Accompanying drawing explanation
Fig. 1 shows the flow process of embodiment of the present invention Optical remote satellite data capture method
Figure.
Detailed description of the invention
Below by specific embodiment and combine accompanying drawing and the present invention is done further in detail
Describe.
The embodiment of the present invention provides a kind of Optical remote satellite data capture method, such as Fig. 1 institute
Show, main processing steps: including:
Step S11: set up meteorogical phenomena database, according to monitoring geographical position in meteorogical phenomena database
And monitoring storage chronological classification has meteorological data；
Step S12: set up Optical remote satellite moving model；
Step S13: utilize Optical remote satellite moving model simulated optical remote sensing satellite to simulate
Shooting obtains analog image data；
In particular, when utilizing Optical remote satellite moving model simulated optical remote sensing satellite to shoot
Sequence is to obtain analog image data
Step S14: determine the actual image geographical position corresponding to analog image data, with
Time determine obtain analog image data the actual image capturing time corresponding to simulated time；
Step S15: during according to the actual image geographical position determined and actual image capturing
Between, it is the most right with actual image geographical position and actual image time to transfer from meteorogical phenomena database
The meteorological data answered；
Step S16: according to the meteorological data transferred, it is judged that meteorological data is to analog image number
Impact according to availability；
Step S17: generate satellite image according to the judged result of all analog image data and connect
Receive timetable；
Step S18: ground receiver end receives timetable according to satellite image and receives optical remote sensing
The image data that satellite sends.
Optical remote satellite data capture method is provided in the above embodiment of the present invention, should
Method initially sets up meteorogical phenomena database and Optical remote satellite moving model；Utilize optics distant
Sense dummy satellite can be simulated the Optical remote satellite simulation shooting of reality and be obtained analog image number
According to, and combine the meteorological data in meteorogical phenomena database and judge that meteorological data is to analog image number
According to impact, according to judge result know in advance Optical remote satellite run sometime
The availability of the image data in certain region that shooting obtains, and raw according to the result judged
Becoming satellite image to receive timetable, ground receiver end receives timetable according to satellite image can
Prejudge out the availability of the image data of reception, thus ensure what ground receiver end received
Image data is available.
Step S11 is wherein set up meteorogical phenomena database, according to monitoring geography in meteorogical phenomena database
Position and monitoring storage chronological classification have meteorological data, including: according to the administration of photographing region
Monitoring Data word bank is set up in division；Obtaining meteorological data, the monitoring according to meteorological data is geographical
Meteorological data is stored in the Monitoring Data word bank of correspondence by position；By each Monitoring Data
Meteorological data in storehouse was classified according to the monitoring time；Wherein storage has the prison of meteorological data
Survey data word bank and be combined as meteorogical phenomena database.
In the embodiment of the present invention, the Administration partition according to photographing region sets up Monitoring Data word bank bag
Include: compile whole nation meteorological stations data, the meteorological data of each meteorological station
Generally comprise rainfall, cloud amount and the statistical conditions of haze Monitoring Data of about 50 years.
Monitoring Data word bank set up by corresponding each meteorological station, records it in each Monitoring Data word bank
The meteorological data in corresponding administrative area, the meteorological data wherein recorded include meteorological station information,
Rainfall, cloud amount, haze Monitoring Data and monitoring time etc., for follow-up analog image cloud
Amount prediction provides reference.
Further, each Monitoring Data word bank records the meteorological number in the administrative area of its correspondence
According to including: the corresponding meteorological station of each Monitoring Data word bank, therefore need compiling
National meteorological stations identification row administrative division information, it is achieved method is: according to administration at county level
Spatial relation between zoning and meteorological stations, uses closest principle, for often
One administrative unit at county level distributes a meteorological stations minimum with its space length；When
There is two or more minimum space apart from identical meteorological station in a certain administrative unit at county level
Time, then it is adjusted, for this administrative unit at county level with reference to weather band and orographic factor information
Choose the most unique meteorological station, it is ensured that the ownership of each county's meteorological station, according to
The distribution of the right relation of the meteorological power of the meteorological station determined and administrative areas at the county level, for ground
Meteorological station identification row administrative division information.
The meteorological data obtained in the embodiment of the present invention includes the rainfall monitoring number presetting the time limit
According to, cloud amount Monitoring Data and haze Monitoring Data, specifically, the default time limit can be 30-50
Year.
Further, meteorological data also includes climate zone time data and climate zone ground figurate number
According to, when determining the distribution of the right of each meteorological station, always according to climate zone time data and
Climate zone terrain data is capable of that administrative areas at the county level draw meteorological the distribution of the right and adjusts.Specifically
Ground, compiles whole nation weather stripe information data, carries out the ownership of meteorological station at county level
Arrange and adjust, the administrative unit meteorological station at county level across climate band is divided again
Join.According to locality climate law feature for many years, choose the meteorological data in typical case's time and carry out
Relative analysis, it is ensured that the meteorological station of distribution and the Weather information degree of fitting of administrative unit at county level
Maximum.
The embodiment of the present invention is set up Optical remote satellite moving model, including: according to optics
Remote sensing satellite operational factor sets up Optical remote satellite moving model；Wherein, optical remote sensing is defended
Luck line parameter includes classification of track, orbit altitude, orbit inclination angle, revisiting period and recurrence
In cycle one or more.Specifically include: the operation track of simulated target satellite and operation shape
Condition；Set up target satellite reference images data base (in one recursion period of record object satellite
Whole image positions of shooting and coverage thereof).
The embodiment of the present invention utilizes Optical remote satellite moving model simulated optical remote sensing satellite
Simulation shooting obtain analog image data include: according to practical application request choose target satellite,
Determine that target geographic scope and target image obtain time range.Secondly, defend according to target
Star information and target geographic scope, search in satellite reference images data base and cover samely
The reference images of reason scope, returns the actual coverage of image.Then, according to target image
Obtain time range, by satellite transit model, calculate analog image data obtaining time.
Finally, obtain temporal information in conjunction with image actual coverage information with image data, obtain
Analog image information.
According to the meteorological data transferred, it is judged that meteorological data is to analog image availability of data
Impact, including: utilize the rainfall monitoring that numerical statistic analogy method judges in meteorological data
Data, cloud amount Monitoring Data and the haze Monitoring Data shadow to the availability of analog image data
Ring.Numerical statistic analogy method includes: weighted average method, statistical simulation methods and recurrence
One or more in analysis method.
Acquisition time according to analog image and image coverage, with in meteorogical phenomena database
Historical data is reference, utilizes the prediction cloud amount of numerical statistic analogy method calculating simulation image,
Using the analog image cloud amount that dopes as analog image availability basis for estimation.Usually,
Using cloud amount in 30% data below as data available, this threshold value can be entered according to the actual requirements
Row sum-equal matrix.
Obviously, those skilled in the art should be understood that the above-mentioned present invention each module or
Each step can realize with general calculating device, and they can concentrate on single calculating
On device, or it is distributed on the network that multiple calculating device is formed, alternatively, they
Can realize with calculating the executable program code of device, it is thus possible to they are stored
Performed by calculating device in the storage device, or it is integrated that they are fabricated to respectively
Circuit module, or the multiple modules in them or step are fabricated to single integrated circuit mould
Block realizes.So, the present invention is not restricted to the combination of any specific hardware and software.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention,
For a person skilled in the art, the present invention can have various modifications and variations.All
Within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. made,
Should be included within the scope of the present invention.
Claims (8)
1. an Optical remote satellite data capture method, it is characterised in that including:
Set up meteorogical phenomena database, in described meteorogical phenomena database according to monitoring geographical position and
Monitoring storage chronological classification has meteorological data；
Set up Optical remote satellite moving model；
Described Optical remote satellite moving model simulated optical remote sensing satellite is utilized to simulate
Shooting obtains analog image data；
Determine the actual image geographical position corresponding to described analog image data, simultaneously
Determine that the actual image corresponding to simulated time obtaining described analog image data obtains
Take the time；
Described actual image geographical position and described actual image according to determining are obtained
Take the time, transfer from described meteorogical phenomena database with described actual image geographical position and
The meteorological data that the described actual image time is all corresponding；
According to the described meteorological data transferred, it is judged that described meteorological data is to described simulation
The impact of image data availability；
Judged result according to all described analog image data generates satellite image and connects
Receive timetable；
Ground receiver end receives timetable according to described satellite image and receives optical remote sensing
The image data that satellite sends.
Method the most according to claim 1, it is characterised in that described set up meteorological data
Storehouse, according to monitoring geographical position and monitoring storage chronological classification in described meteorogical phenomena database
There is meteorological data, including:
Administration partition according to photographing region sets up Monitoring Data word bank；
Obtain meteorological data, according to the monitoring geographical position of described meteorological data by meteorology
Data store in the Monitoring Data word bank of correspondence；
Meteorological data in each Monitoring Data word bank was carried out point according to the monitoring time
Class；
Wherein storage has the described Monitoring Data word bank of meteorological data to be combined as meteorological number
According to storehouse.
Method the most according to claim 1, it is characterised in that described meteorological data includes
Preset the rainfall Monitoring Data of the time limit, cloud amount Monitoring Data and haze Monitoring Data.
Method the most according to claim 3, it is characterised in that in described meteorological data also
Including climate zone time data and climate zone terrain data.
Method the most according to claim 1, it is characterised in that described set up optical remote sensing
Satellite transit model, including:
Optical remote satellite moving model is set up according to Optical remote satellite operational factor；
Wherein, described Optical remote satellite operational factor includes that classification of track, track are high
In degree, orbit inclination angle, revisiting period and recursion period one or more.
Method the most according to claim 3, it is characterised in that the institute that described basis is transferred
State meteorological data, it is judged that described meteorological data is to described analog image availability of data
Impact, including:
Numerical statistic analogy method is utilized to judge the described rainfall in described meteorological data
Amount Monitoring Data, described cloud amount Monitoring Data and described haze Monitoring Data are to described mould
Intend the impact of the availability of image data.
Method the most according to claim 6, it is characterised in that described numerical statistic is simulated
Method includes: in weighted average method, statistical simulation methods and regression analysis
One or more.
Method the most according to claim 3, it is characterised in that described default year is limited to
30-50.
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| CN107277301B (en) * | 2016-04-06 | 2019-11-29 | 杭州海康威视数字技术股份有限公司 | The image analysis method and its system of monitor video |
| CN110019879B (en) * | 2017-07-31 | 2021-03-05 | 清华大学 | Satellite remote sensing image searching method and device |
| CN108957594B (en) * | 2018-05-15 | 2021-01-15 | 北京维艾思气象信息科技有限公司 | Method and system for forecasting and correcting total cloud amount of satellite orbit |
| CN109508633B (en) * | 2018-09-30 | 2020-10-09 | 广州地理研究所 | Sugarcane distribution identification method based on optical remote sensing data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101446642A (en) * | 2008-04-11 | 2009-06-03 | 国家卫星气象中心 | Automatic matching method for remote sensing satellite data ground control point based on knowledge learning |
| CN101667192A (en) * | 2009-09-17 | 2010-03-10 | 航天恒星科技有限公司 | Integration method of multi-satellite heterogeneous remote sensing data based on SOA architecture |
| CN101713823A (en) * | 2009-11-13 | 2010-05-26 | 航天东方红卫星有限公司 | Satellite telemetry data reduction processing method |
| CN103020325A (en) * | 2013-01-17 | 2013-04-03 | 中国科学院计算机网络信息中心 | Distributed remote sensing data organization query method based on NoSQL database |
| CN103051944A (en) * | 2012-12-24 | 2013-04-17 | 中国科学院对地观测与数字地球科学中心 | Moving window display system and method of remote sensing satellite data |
-
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101446642A (en) * | 2008-04-11 | 2009-06-03 | 国家卫星气象中心 | Automatic matching method for remote sensing satellite data ground control point based on knowledge learning |
| CN101667192A (en) * | 2009-09-17 | 2010-03-10 | 航天恒星科技有限公司 | Integration method of multi-satellite heterogeneous remote sensing data based on SOA architecture |
| CN101713823A (en) * | 2009-11-13 | 2010-05-26 | 航天东方红卫星有限公司 | Satellite telemetry data reduction processing method |
| CN103051944A (en) * | 2012-12-24 | 2013-04-17 | 中国科学院对地观测与数字地球科学中心 | Moving window display system and method of remote sensing satellite data |
| CN103020325A (en) * | 2013-01-17 | 2013-04-03 | 中国科学院计算机网络信息中心 | Distributed remote sensing data organization query method based on NoSQL database |
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