A Method of Improving the Geosynchronous Orbit Satellite Earth Observation Image Geometric Correction Accuracy

Abstract

The invention relates to a method for improving the geometric correction accuracy of geosynchronous orbit satellites to earth observation images, comprising: pre-calculating the longitude and latitude of the pixel-by-pixel central position according to the orbit data of geosynchronous orbit satellites, and storing them in a grid data file ;Use high-resolution digital elevation data as the reference data for geometric fine-tuning, and generate high-density landmark points along the coastline in the scanning area of ​​geosynchronous orbit satellites; read the original remote sensing image data of geosynchronous orbit satellites through the open source scientific computing library, And output it as geospatial data in GeoTIFF format; according to the open source scientific computing library, the acquired raster data file information and related geographic projection information are updated to the GeoTIFF file storing satellite images in the form of geospatial metadata; through geospatial The data is used as the basic information of remote sensing image reprojection to complete the geometric correction of geosynchronous satellite remote sensing images.

Description

technical field [0001] The invention relates to the field of satellite earth observation image processing or data analysis, in particular to a method for improving the geometric correction accuracy of geosynchronous orbit satellite earth observation images. Background technique [0002] A geosynchronous satellite, also known as a geostationary satellite, is an artificial earth satellite whose operating period is the same as the earth's rotation period. Unlike sun-synchronous orbit satellites, which are usually used for earth observation, geosynchronous orbit satellites pass over the same place on the earth at the same time every day. For ground observers, geosynchronous orbit satellites are relatively stationary, always in the same zenith angle and azimuth direction. [0003] The images collected by satellites for earth observation are called remote sensing images. The remote sensing images collected by both sun-synchronous orbit satellites and geosynchronous orbit satelli...

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Problems solved by technology

[0010] The advantage of the above three methods is that they are highly controllable. As long as the geometric accuracy of the GCP provided by the user is high enough and the number of control points is sufficient, the geometric correction of the remote sensing image can be completed by pixel-by-pixel resampling by means of translation or rubber stretching. The disadvantage is that the above process requires a large number of user interaction operations, which is time-consuming, has high labor costs, and is easy to introduce human errors, so it is difficult to be used for massive satellite image data processing

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