Obtaining method of optical remote sensing satellite image in-scene relative distortion indexes

Abstract

The invention discloses an obtaining method of optical remote sensing satellite image in-scene relative distortion indexes. Firstly error sources of remote sensing image in-scene relative distortion indexes are defined; image in-scene relative distortion is mainly affected by the random error of a satellite measurement system, a satellite imagery timer random error, satellite platform flutter and the satellite in-rail calibration accuracy; secondly, the optical remote sensing image relative in-scene distortion caused by each error source is obtained by calculating the image in-scene relative distortion value caused by each independent error source in the directions of along and crossing a track; finally the comprehensive influence on the optical remote sensing image relative in-scene distortion by each error source is obtained by adopting the optical remote sensing image relative in-scene distortion value caused by each error source, and the image in-scene relative distortion is estimated. The method indicates all factors influencing the image in-scene relative distortion, and gives out a quantitative calculation method of each independent influence factor and a method for estimating the image in-scene relative distortion.

Description

technical field [0001] The invention relates to a method for obtaining relative distortion indexes in an image scene of an optical remote sensing satellite, in particular to a method for obtaining relative distortion indexes in an image scene when there are no control points. Background technique [0002] With the development of optical remote sensing technology, users have higher and higher requirements for the image quality of remote sensors, and the proposed indicators are becoming more and more detailed. The relative distortion index in the scene without control points is the index proposed by users to control image quality recently. . The relative distortion in the image scene is mainly caused by the random error of the satellite measurement system, the flutter of the satellite platform and other factors. Since its influencing factors are mainly random errors, the ground application stage cannot be removed by regular geometric calibration. If there are no high-precisi...

AI Technical Summary

Problems solved by technology

The relative distortion index in the image scene without control points recently proposed by the user is different from the above indicators. The main influencing factor of this index is random error. To remove this error, the satellite can only image in areas with high-precision control points or a large number of control points. Otherwise it will directly affect the use of the image

Therefore, in order to improve the quality of satellite imaging, if there is no design guarantee for this indicator in the satellite design stage, it will greatly affect the imaging quality and use efficiency in the satellite scene

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