Large-width imaging load image remapping method and system

Abstract

The invention provides a large-width imaging load image remapping method and a large-width imaging load image remapping system. The method comprises the following steps: inputting original image data blocks within a period of time and imaging time, satellite three-axis attitude and satellite position information; and carrying out pixel-by-pixel geographic positioning on the original image data. And calculating the geolocation of each pixel in the distortionless image. And establishing a local projection coordinate system. And mapping the three-dimensional position coordinates of the original image and the distortionless image to a plane. And performing two-dimensional linear interpolation in the plane to obtain a remapped image. And outputting the remapped image and the longitude and latitude of each pixel. The method is reasonable and easy to implement, and can be effectively applied to image remapping of a large-width imaging load.

Description

technical field [0001] The invention relates to the field of remote sensing, in particular to a method and system for remapping images of large and wide imaging payloads. Background technique [0002] The swath width is an important indicator of the satellite load, which affects the observation coverage of the satellite. With the maturity of the moving parts on the satellite, the imaging load with a large width is widely used in the field of remote sensing. In order to realize large and wide imaging, there are various ways to realize it, such as: high orbit height, vertical orbit scanning, conical scanning, multi-camera stitching, multi-detector array stitching, etc. [0003] When the imaging load width increases, the influence of the curvature of the earth will be obvious, resulting in obvious geometric distortion in the image, and the image data needs to be remapped (sampled). Theoretically, the imaging targets of remote sensing instruments for earth observation are distr...

AI Technical Summary

Problems solved by technology

This method can preserve the size information of the imaging area corresponding to the pixels in the original image to a certain extent, but does not consider the influence of factors such as the curvature of the earth and the non-quadrangle of the imaging area.

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