Extraction method for local cloud cover information metadata of moderate resolution imaging spectral image
A data extraction and image data technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of making correct judgments on the quality of remote sensing images, consuming a lot of time, not providing or only providing remote sensing images, etc. problem, to achieve the effect of improving retrieval efficiency
Inactive Publication Date: 2012-05-23
EAST CHINA NORMAL UNIV
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[0004] Due to the lack of the above metadata, the design of the existing remote sensing image retrieval system and remote sensing image database management system has been affected to a certain extent. The current system generally does not provide or only provides the average cloud amount or four-corner cloud amount of remote sensing images. For For remote sensing images with a wide coverage, such as MODIS images with a scan width of 2330 kilometers, due to the irregular distribution of cloud cover in space and time, it is difficult to determine the location of the study area and judge the data quality. The cloud amount or four-corner cloud amount information cannot reflect the local cloud amount, which makes it difficult for users to make a correct judgment on the remote sensing image quality of a specific research area in the process of remote sensing image retrieval.
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[0136] refer to figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 and Figure 6 , extracted the cloud cover of Anhui Province from the MOD35 / Terra image during the day in March 2010, and selected the image with a spatial resolution of 1KM. According to the flowchart of the present invention, the cloud information in the MOD35 cloud mask image is extracted through the steps, and the cloudy and cloudless areas are binary divided, the cloudy areas are displayed as white, and the cloudless areas are displayed as Black, and then use the methods given in steps 2 and 3 to read the latitude and longitude data corresponding to the MOD35 image and the vector boundary data of the research area. Use the method of step 4 to extract the coverage of the image and the vector boundary of the study area, and use the method of step 5 to find all the remote sensing images that cover the study area that are adjacent in time and space, and use the algorithm of step 6 and step 7, Correct...
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The invention discloses new remote sensing image metadata, and describes an extraction method of the metadata in detail. In the extraction method, by extracting the local cloud cover information of a moderate resolution imaging spectroradiometer, the concrete cloud cover information is provided for a user in the process of retrieving the remote sensing data of a specific study area, and the extraction method belongs to the field of remote sensing metadata. The method mainly aims to solve the problem of how to extract the cloud cover information of the area from a cloud mask image of the moderate resolution imaging spectroradiometer by a local vector boundary, and the method realizes quick extraction of the cloud cover information of the area by the following steps: judging the cloud mask image range of the moderate resolution imaging spectroradiometer and the study area range, mosaicking the image, preprocessing abnormal data of the edge of the image, superposing and cutting vector data and raster data, extracting the cloud cover information, and the like. The extraction method provided by the invention can accurately and quickly provide the local cloud cover information for users, thereby greatly improving the retrieval efficiency of the remote sensing data.
Description
technical field [0001] The invention belongs to the field of remote sensing metadata, and is a new metadata proposed for the lack of metadata reflecting the quality of local remote sensing images in remote sensing data retrieval, and a method for quickly extracting local cloud amount information, mainly through medium resolution The local cloud cover information extraction of imaging spectrometer (MODIS) enables users to obtain specific local cloud cover information in the process of retrieving remote sensing data in a specific research area, and use this as a retrieval constraint to improve the efficiency of data retrieval. Background technique [0002] The extraction of cloud amount information from remote sensing images is of great significance to remote sensing application research. Cloud cover and even thin clouds have a significant impact on the retrieval of various land surface parameters. For areas affected by clouds and fog all year round, accurate regional and loc...
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IPC IPC(8): G06F17/30
Inventor 施润和钟洪麟
Owner EAST CHINA NORMAL UNIV