CN105574206A - Automatic remote sensing data and buoy data matching method and system - Google Patents
Automatic remote sensing data and buoy data matching method and system Download PDFInfo
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Abstract
The invention discloses an automatic remote sensing data and buoy data matching method and system. The method comprises the steps that a buoy located in a remote sensing image data coverage range is determined; whether the buoy with the difference between the data acquisition time and the remote sensing image data imaging time smaller than a preset time duration exists or not is judged according to the remote sensing image imaging time, if not, data of a target buoy is automatically obtained from a preset network address and is saved in a local storage area; the data closest to the remote sensing image data imaging time is selected from the data of the target buoy; a pixel point closest to the position of the target buoy in the remote sensing image data and window data using the pixel point as the center and with a preset range are determined; the data of the target buoy and the corresponding window data of the target buoy in the remote sensing image data establish an association relation, and the association relation is stored. The method can automatically and quickly obtain the buoy data matched with the remote sensing data from a local or a network and is high in intelligence and matching speed.
Description
Technical field
The present invention relates to a kind of data analysis processing method, particularly relate to automatic matching method and the system of remotely-sensed data and buoy data.
Background technology
Remote sensing technology collects the electromagnetic radiation information of ground object target, sentences the technology of recognizing earth environment and resource.It is on the basis of aeroplane photography and interpretation, and developing into satellite remote sensing technology gradually with the development of spationautics and electronic computer technology is main comprehensive detection technology.Airborne and spaceborne RS utilizes the Characteristics of Electromagnetic being arranged on carry-on remote sensor sensing ground object target, and feature is recorded, for identification and judgement.The a whole set of instrument and equipment completing remote sensing task is called remote sensing system.Aerospace remote sensing can from differing heights, on a large scale, quick and multispectral section ground senses, and obtains bulk information.Therefore aerospace remote sensing technology national economy and military a lot of in obtain and apply widely.Such as be applied to meteorological observation, resource survey, ground mapping, military surveillance and oceanographic observation etc.Ocean remote sensing is observed, the features such as relative ocean scene observation has efficiently, economy, safety, scope are wide, time series.But the resolution of ocean remote sensing data is lower, the cycle that returns to is longer, limits its application to a certain extent.
Oceanographic buoy is a unmanned automatic oceanic observation, it is fixed on the marine site of specifying, rise and fall with ripple, even if also long-term, continuous, round-the-clock work can be carried out under the condition that marine environment is more severe, every day Timing measurement and multiple Hydrometeorological Factors of transmitting messages out, at present, from NDBC buoy website, (address is
http:// www.ndbc.noaa.gov), can free download buoy data.But the shortcoming of buoy observation is ocean weather station observation, and relative to wide ocean, sampling spot very little.
In sum, if the data of two kinds of observation methods reasonably can be integrated, by obtaining specifically, accurately and the marine information of multidimensional.But how different for spatial and temporal resolution two kinds of data being carried out coupling is the technical issues that need to address.
Summary of the invention
In order to solve the problem, the invention provides a kind of by the method for remotely-sensed data and buoy data Auto-matching.
The automatic matching method of remotely-sensed data provided by the invention and buoy data is used for presetting remotely-sensed data and download or online buoy data to carry out Auto-matching on the net, and described method comprises:
Step 1, obtains the effective remote sensing image data preserved;
Step 2, the positional information of the buoy preserved according to local storage determines the buoy of the coverage being positioned at described remote sensing image data;
Step 3, judge whether to exist according to the imaging time of described remote sensing images the buoy that data acquisition time is less than preset duration apart from described remote sensing image data imaging time and be called target buoy, if, the data of target buoy are obtained from this locality, if not, described local storage is saved in from the data of target buoy described in the automatic acquisition of the default network address;
Step 4, the data that described in chosen distance, the imaging time of remote sensing image data is nearest from the data of described target buoy;
Step 5, the pixel that the position of target buoy described in described remote sensing image data middle distance is nearest is determined according to the positional information of described target buoy and the latitude and longitude information of described remote sensing image data, and the window data of preset range centered by this pixel;
Step 6, builds incidence relation by window data corresponding in described remote sensing image data with described target buoy for the data of described target buoy and stores described incidence relation.
Said method can also have following characteristics:
Be saved in described local storage comprise from the data of target buoy described in the automatic acquisition of the default network address described in described step 3:
Identifier and the imaging time formation URL(uniform resource locator) of the network address and described target buoy is preset according to first, and obtain data according to this URL(uniform resource locator), if obtain data success, the data of acquisition are saved in described local storage, if acquisition data failure, identifier and the imaging time formation URL(uniform resource locator) of the network address and described target buoy is preset according to second, and again obtain data according to this URL(uniform resource locator), if obtain data success, the data of acquisition are saved in described local storage.
Said method can also have following characteristics:
Describedly preset the identifier of the network address and described target buoy and imaging time according to first and form URL(uniform resource locator) and obtain data according to this URL(uniform resource locator) and comprise:
Time according to the first identifier and imaging presetting the network address and described target buoy forms URL(uniform resource locator) and obtains data according to this URL(uniform resource locator), if acquisition data failure, preset the network address and the described identifier of target buoy and the time of imaging according to first and month form URL(uniform resource locator) and obtain data according to this URL(uniform resource locator).
Said method can also have following characteristics:
Obtain the effective remote sensing image data preserved described in described step 1 to comprise: the All Files under the catalogue that under files all under the catalogue selected of scanning user, All Files or scanning user select under effective file, using the remote sensing image data with predetermined format that scans as effective remote sensing image data.
Said method can also have following characteristics:
The data of the buoy preserved according to this locality in described step 2 determine that the buoy of the coverage being positioned at described remote sensing image data comprises: according to the coverage information of described remote sensing image data and the latitude and longitude information of the local buoy preserved, judge the buoy being positioned at the coverage of described remote sensing image data.
Said method can also have following characteristics:
Preset range in described step 5 be rectangle, circle or irregularly shaped.
Said method can also have following characteristics:
The data of described buoy comprise the mark of buoy, longitude and latitude, also comprise at least one in following parameter: the height of wind gage, wind speed, wind direction, maximum wind velocity, significant wave height, main period of wave, the average wave cycle, main wave-wave to, sea table air pressure, sea-surface temperature, dewpoint temperature, ocean wave spectrum, ocean current and tide information.
Remotely-sensed data provided by the invention and buoy data automatic patching system comprise: parameter configuration module, processing module, matching module, local storage;
Described parameter configuration module is for configuring preset duration and preset range;
The positional information that described processing module is used for the buoy preserved according to local storage determines the buoy of the coverage being positioned at described remote sensing image data, judge whether to exist according to the imaging time of described remote sensing images the buoy that data acquisition time is less than preset duration apart from described remote sensing image data imaging time and be called target buoy, if, the data of described target buoy are obtained from this locality, if not, described local storage is saved in from the data of target buoy described in the automatic acquisition of the default network address; The data that described in chosen distance, the imaging time of remote sensing image data is nearest from the data of described target buoy, the pixel that the position of target buoy described in described remote sensing image data middle distance is nearest is determined according to the positional information of described target buoy and the latitude and longitude information of described remote sensing image data, and the window data of preset range centered by this pixel;
Described matching module, for building incidence relation by window data corresponding in described remote sensing image data with described target buoy for the data of described target buoy and store described incidence relation.
Said system can also have following characteristics:
Described processing module, for being saved in described local storage from the data of target buoy described in the automatic acquisition of the default network address in the following ways:
Identifier and the imaging time formation URL(uniform resource locator) of the network address and described target buoy is preset according to first, and obtain data according to this URL(uniform resource locator), if obtain data success, the data of acquisition are saved in described local storage, if acquisition data failure, identifier and the imaging time formation URL(uniform resource locator) of the network address and described target buoy is preset according to second, and again obtain data according to this URL(uniform resource locator), if obtain data success, the data of acquisition are saved in described local storage.
Said system can also have following characteristics:
Described processing module, for presetting the identifier of the network address and described target buoy according to first in the following ways and imaging time forms URL(uniform resource locator) and obtains data according to this URL(uniform resource locator):
Time according to the first identifier and imaging presetting the network address and described target buoy forms URL(uniform resource locator) and obtains data according to this URL(uniform resource locator), if acquisition data failure, preset the network address and the described identifier of target buoy and the time of imaging according to first and month form URL(uniform resource locator) and obtain data according to this URL(uniform resource locator).
Method of the present invention under the condition obtaining remotely-sensed data, can automatically fast at local or Network Capture to the buoy data matched with remotely-sensed data, the intelligent height of this method and matching speed is fast.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the matching process of remotely-sensed data and buoy data in embodiment;
Fig. 2 is the structural drawing of the matching system of remotely-sensed data and buoy data in embodiment.
Specific embodiment
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combination in any mutually.
Fig. 1 is the process flow diagram of remotely-sensed data and buoy data matching method in embodiment, and this method is used for presetting remotely-sensed data and download or online buoy data to carry out Auto-matching on the net, comprising:
Step 101, obtains the effective remote sensing image data preserved.
Specifically comprise in this step: the All Files under the catalogue that under the catalogue selected of scanning user, the lower All Files of All Files folder or scanning user select under effective file, using the remote sensing image data with predetermined format that scans as effective remote sensing image data.In this step, if contain the remote sensing image data of all needs under certain file, then judge that this file is as effective.Generally, the data layout of RS-2 only supported by the software performing this method.
Step 102, the positional information of the buoy preserved according to local storage determines to be positioned at the buoy of the coverage of remote sensing image data.
Specifically comprise in this step: according to the coverage information of remote sensing image data and the latitude and longitude information of the local buoy preserved, judge the buoy being positioned at the coverage of remote sensing image data.
Step 103, judge whether to exist according to the imaging time of remote sensing images the buoy that data acquisition time distance remote sensing image data imaging time is less than preset duration and be called target buoy, if, the data of target buoy are obtained from this locality, if not, local storage is saved in from the data of default network address automatic acquisition target buoy.
Be saved in local storage comprise from the data of default network address automatic acquisition target buoy: preset the identifier of the network address and target buoy according to first and imaging time forms URL(uniform resource locator), and obtain data according to this URL(uniform resource locator), if obtain data success, the data of acquisition are saved in local storage, if acquisition data failure, the identifier of the network address and target buoy is preset and imaging time forms URL(uniform resource locator) and again obtains data according to this URL(uniform resource locator) according to second, if obtain data success, the data of acquisition are saved in memory block.
Preset the identifier of the network address and target buoy and imaging time according to first to form URL(uniform resource locator) and obtain data according to this URL(uniform resource locator) and comprise: the time according to the first identifier and imaging presetting the network address and target buoy forms URL(uniform resource locator) and obtains data according to this URL(uniform resource locator), if acquisition data failure, preset the network address and the identifier of target buoy and the time of imaging according to first and month form URL(uniform resource locator) and obtain data according to this URL(uniform resource locator).Wherein, first presets the address that the network address refers to NDBC buoy website, and second presets the network address refers to Canadian buoy website.
Concrete make is as shown in table 1:
Table 1 buoy Data URL
In this step 103, if preset the network address and second from first to preset the data that the network address all can not obtain target buoy, then need to notify that user need manually search.
Step 104, the data that the imaging time of chosen distance remote sensing image data is nearest from the data of target buoy;
Step 105, the pixel nearest according to the position of the positional information of target buoy and the latitude and longitude information determination remote sensing image data mid-range objectives buoy of remote sensing image data, and the window data of preset range centered by this pixel.
Preset range window can be rectangle, circle or irregularly shaped, and such as preset range can be the square scope of N*N, and N is the integer being greater than preset value.
Step 106, builds incidence relation by window data corresponding in remote sensing image data with target buoy for the data of target buoy and stores incidence relation.
The data of buoy comprise the mark of buoy, longitude and latitude, also comprise at least one in following parameter: the height of wind gage, wind speed, wind direction, maximum wind velocity, significant wave height, main period of wave, the average wave cycle, main wave-wave to, sea table air pressure, sea-surface temperature, dewpoint temperature.Because buoy kind is different, some buoy can also provide ocean wave spectrum, ocean current and tide information.
The matching system of the remotely-sensed data corresponding with said method and buoy data comprises: parameter configuration module, processing module, matching module, local storage.
Parameter configuration module is for configuring preset duration and preset range.
The positional information that processing module is used for the buoy preserved according to local storage determines to be positioned at the buoy of the coverage of remote sensing image data, judge whether to exist according to the imaging time of remote sensing images the buoy that data acquisition time distance remote sensing image data imaging time is less than preset duration and be called target buoy, if, the data of target buoy are obtained from this locality, if not, local storage is saved in from the data of default network address automatic acquisition target buoy; The data that the imaging time of chosen distance remote sensing image data is nearest from the data of target buoy, the pixel nearest according to the position of the positional information of target buoy and the latitude and longitude information determination remote sensing image data mid-range objectives buoy of remote sensing image data, and the window data of preset range centered by this pixel.
Matching module is used for window data corresponding in remote sensing image data with target buoy for the data of target buoy being built incidence relation and storing incidence relation.
Concrete,
Processing module, for being saved in local storage from the data of default network address automatic acquisition target buoy in the following ways: preset the identifier of the network address and target buoy according to first and imaging time forms URL(uniform resource locator), and obtain data according to this URL(uniform resource locator).If obtain data success, the data of acquisition are saved in local storage; If acquisition data failure, identifier and the imaging time formation URL(uniform resource locator) of the network address and target buoy is preset according to second, and again obtain data according to this URL(uniform resource locator), if obtain data success, the data of acquisition are saved in local storage.
Processing module, for presetting identifier and the imaging time formation URL(uniform resource locator) of the network address and target buoy in the following ways according to first, and obtaining data according to this URL(uniform resource locator): the time according to the first identifier and imaging presetting the network address and target buoy forms URL(uniform resource locator) and obtains data according to this URL(uniform resource locator), if acquisition data failure, preset the network address and the identifier of target buoy and the time of imaging according to first and month form URL(uniform resource locator), and obtain data according to this URL(uniform resource locator).
All Files under the catalogue that processing module is selected for All Files or scanning user under files all under the catalogue that scans user and select under effective file, using the remote sensing image data with predetermined format that scans as effective remote sensing image data.
The buoy that the data that processing module is used for the buoy preserved according to this locality determine to be positioned at the coverage of remote sensing image data comprises: according to the coverage information of remote sensing image data and the latitude and longitude information of the local buoy preserved, judge the buoy being positioned at the coverage of remote sensing image data.
Above-mentioned preset range be rectangle, circle or irregularly shaped.
The data of buoy comprise the mark of buoy, longitude and latitude, also comprise at least one in following parameter: the height of wind gage, wind speed, wind direction, maximum wind velocity, significant wave height, main period of wave, the average wave cycle, main wave-wave to, sea table air pressure, sea-surface temperature, dewpoint temperature.Because buoy kind is different, some buoy can also provide ocean wave spectrum, ocean current and tide information.
Method of the present invention under the condition obtaining remotely-sensed data, can automatically fast at local or Network Capture to the buoy data matched with remotely-sensed data, the intelligent height of this method and matching speed is fast.
In addition, it should be noted that, the specific embodiment described in this instructions, the shape, institute's title of being named etc. of its parts can be different, and the above content described in this instructions is only to structure example of the present invention explanation.
Above-described content can combine enforcement individually or in every way, and these variant are all within protection scope of the present invention.
In this article, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the article of a series of key element or equipment not only comprises those key elements, but also comprise other key elements clearly do not listed, or also comprise by this article or the intrinsic key element of equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within the article or equipment comprising key element and also there is other identical element.
Above embodiment only in order to technical scheme of the present invention and unrestricted to be described, only with reference to preferred embodiment to invention has been detailed description.Those of ordinary skill in the art should be appreciated that and can modify to technical scheme of the present invention or equivalent replacement, and does not depart from the spirit and scope of technical solution of the present invention, all should be encompassed in the middle of right of the present invention.
Claims (10)
1. an automatic matching method for remotely-sensed data and buoy data, is characterized in that, for presetting remotely-sensed data and download or online on the net buoy data are carried out Auto-matching, described method comprises:
Step 1, obtains the effective remote sensing image data preserved;
Step 2, the positional information of the buoy preserved according to local storage determines the buoy of the coverage being positioned at described remote sensing image data;
Step 3, judge whether to exist according to the imaging time of described remote sensing images the buoy that data acquisition time is less than preset duration apart from described remote sensing image data imaging time and be called target buoy, if, the data of target buoy are obtained from this locality, if not, described local storage is saved in from the data of target buoy described in the automatic acquisition of the default network address;
Step 4, the data that described in chosen distance, the imaging time of remote sensing image data is nearest from the data of described target buoy;
Step 5, the pixel that the position of target buoy described in described remote sensing image data middle distance is nearest is determined according to the positional information of described target buoy and the latitude and longitude information of described remote sensing image data, and the window data of preset range centered by this pixel;
Step 6, builds incidence relation by window data corresponding in described remote sensing image data with described target buoy for the data of described target buoy and stores described incidence relation.
2. the method for claim 1, is characterized in that,
Be saved in described local storage comprise from the data of target buoy described in the automatic acquisition of the default network address described in described step 3:
Identifier and the imaging time formation URL(uniform resource locator) of the network address and described target buoy is preset according to first, and obtain data according to this URL(uniform resource locator), if obtain data success, the data of acquisition are saved in described local storage, if acquisition data failure, identifier and the imaging time formation URL(uniform resource locator) of the network address and described target buoy is preset according to second, and again obtain data according to this URL(uniform resource locator), if obtain data success, the data of acquisition are saved in described local storage.
3. method as claimed in claim 2, is characterized in that,
Describedly preset the identifier of the network address and described target buoy and imaging time according to first and form URL(uniform resource locator) and obtain data according to this URL(uniform resource locator) and comprise:
Time according to the first identifier and imaging presetting the network address and described target buoy forms URL(uniform resource locator) and obtains data according to this URL(uniform resource locator), if acquisition data failure, preset the network address and the described identifier of target buoy and the time of imaging according to first and month form URL(uniform resource locator) and obtain data according to this URL(uniform resource locator).
4. the method for claim 1, is characterized in that,
Obtain the effective remote sensing image data preserved described in described step 1 to comprise: the All Files under the catalogue that under files all under the catalogue selected of scanning user, All Files or scanning user select under effective file, using the remote sensing image data with predetermined format that scans as effective remote sensing image data.
5. the method for claim 1, is characterized in that,
The data of the buoy preserved according to this locality in described step 2 determine that the buoy of the coverage being positioned at described remote sensing image data comprises: according to the coverage information of described remote sensing image data and the latitude and longitude information of the local buoy preserved, judge the buoy being positioned at the coverage of described remote sensing image data.
6. the method for claim 1, is characterized in that,
Preset range in described step 5 be rectangle, circle or irregularly shaped.
7. the method for claim 1, is characterized in that,
The data of described buoy comprise the mark of buoy, longitude and latitude, also comprise at least one in following parameter: the height of wind gage, wind speed, wind direction, maximum wind velocity, significant wave height, main period of wave, the average wave cycle, main wave-wave to, sea table air pressure, sea-surface temperature, dewpoint temperature, ocean wave spectrum, ocean current and tide information.
8. remotely-sensed data and a buoy data automatic patching system, it is characterized in that, described system comprises: parameter configuration module, processing module, matching module, local storage;
Described parameter configuration module is for configuring preset duration and preset range;
The positional information that described processing module is used for the buoy preserved according to local storage determines the buoy of the coverage being positioned at described remote sensing image data, judge whether to exist according to the imaging time of described remote sensing images the buoy that data acquisition time is less than preset duration apart from described remote sensing image data imaging time and be called target buoy, if, the data of described target buoy are obtained from this locality, if not, described local storage is saved in from the data of target buoy described in the automatic acquisition of the default network address; The data that described in chosen distance, the imaging time of remote sensing image data is nearest from the data of described target buoy, the pixel that the position of target buoy described in described remote sensing image data middle distance is nearest is determined according to the positional information of described target buoy and the latitude and longitude information of described remote sensing image data, and the window data of preset range centered by this pixel;
Described matching module, for building incidence relation by window data corresponding in described remote sensing image data with described target buoy for the data of described target buoy and store described incidence relation.
9. system as claimed in claim 8, is characterized in that,
Described processing module, for being saved in described local storage from the data of target buoy described in the automatic acquisition of the default network address in the following ways:
Identifier and the imaging time formation URL(uniform resource locator) of the network address and described target buoy is preset according to first, and obtain data according to this URL(uniform resource locator), if obtain data success, the data of acquisition are saved in described local storage, if acquisition data failure, identifier and the imaging time formation URL(uniform resource locator) of the network address and described target buoy is preset according to second, and again obtain data according to this URL(uniform resource locator), if obtain data success, the data of acquisition are saved in described local storage.
10. system as claimed in claim 8, is characterized in that,
Described processing module, for presetting the identifier of the network address and described target buoy according to first in the following ways and imaging time forms URL(uniform resource locator) and obtains data according to this URL(uniform resource locator):
Time according to the first identifier and imaging presetting the network address and described target buoy forms URL(uniform resource locator) and obtains data according to this URL(uniform resource locator), if acquisition data failure, preset the network address and the described identifier of target buoy and the time of imaging according to first and month form URL(uniform resource locator) and obtain data according to this URL(uniform resource locator).
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| CN111738347A (en) * | 2020-06-28 | 2020-10-02 | 国家海洋环境预报中心 | Sea wave direction spectrum correction method and device, storage medium and electronic equipment |
| CN111738347B (en) * | 2020-06-28 | 2021-03-30 | 国家海洋环境预报中心 | Sea wave direction spectrum correction method and device, storage medium and electronic equipment |
| CN113589235A (en) * | 2021-09-28 | 2021-11-02 | 北京海兰信数据科技股份有限公司 | Radar radial flow data extraction method and system |
| CN114186483A (en) * | 2021-11-30 | 2022-03-15 | 广州赋安数字科技有限公司 | Inversion method for fusing buoy data and ocean satellite remote sensing image |
| CN114186483B (en) * | 2021-11-30 | 2022-09-06 | 广州赋安数字科技有限公司 | Inversion method fusing buoy data and ocean satellite remote sensing image |
| CN116303407A (en) * | 2023-05-17 | 2023-06-23 | 国家卫星海洋应用中心 | Verification method and device for effective wave height data |
| CN116303407B (en) * | 2023-05-17 | 2023-08-18 | 国家卫星海洋应用中心 | Verification method and device for effective wave height data |
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