Sensor calibration method for optical remote sensing satellite multi-CCD multi-camera unified processing

Abstract

The invention relates to a sensor calibration method for optical remote sensing satellite multi-CCD multi-camera unified processing. The sensor calibration method comprises the following steps: firstly taking mounting positions of CCD linear arrays of multiple cameras on an optical remote sensing satellite platform along the direction of a track as benchmark, constructing a virtual CCD linear array, and mounting the virtual CCD linear array on a center line of multiple cameras along the direction of the track; secondly, establishing a strict imaging model of a unified platform; thirdly, constructing a strict imaging model of each CCD; fourthly, for each image point on the virtual CCD linear array, according to direct transformation of the strict imaging model of the unified platform, calculating plane coordinates of a ground point of the image point, and assigning a value to the average elevation of the ground point, so that geographic coordinates of the ground point are obtained; fifthly, according to the strict imaging model of each CCD and the geographic coordinates, calculated in the step four, of the ground point, calculating image point coordinates of the image point by adopting strict imaging model inverse transformation, and assigning a value to a virtual CCD image point; and sixthly, repeating the steps four and five until processing of all the image elements on a virtual CCD is completed.

Description

Technical field [0001] The invention belongs to the field of optical remote sensing satellite data processing and is suitable for the field of aerial photogrammetry. Background technique [0002] With the advancement and development of remote sensing and satellite technology, users have increasingly higher requirements for the geometric resolution, geometric quality, and width of high-resolution satellite images. [0003] Due to the limitation of CCD devices, domestic high-resolution remote sensing satellites will use multiple CCDs and multiple cameras to image together in order to meet the user's requirements for width at present and for a period of time in the future. Each camera is the center projection image. At the same time, in the sub-meter remote sensing camera, the load side is to reduce the impact of the edge MTF drop to ensure the image clarity; in the design of the focal plane, it began to learn from the advanced experience of foreign countries to adopt the arc design, ...

AI Technical Summary

Problems solved by technology

[0014] However, the above methods all process different cameras on the platform separately, which splits the relationship between sensors and requires multiple resampling, resulting in reduced user efficiency and the inability to eliminate the parallax between the two cameras, resulting in a certain stitching error

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