Element decomposing and combining method for sensing product geometric deviation evaluation

Abstract

The invention discloses an element decomposing and combining method for sensing product geometric deviation evaluation. The method comprises the following steps: (1) selecting sample evaluation images and a reference standard map, wherein the terrain selection requirement is that parallax caused by the altitude difference in the image region is less than an image element; (2) determining to performing combination evaluation on two evaluation contents, namely geometric positioning deviation and relative geometric positioning deviation; (3) selecting homonym control points with stable positionsand obvious features on the sample evaluation images and the reference standard map; (4) performing combined measurement and calculation on all elements of the geometric positioning deviation and therelative geometric positioning deviation; (5) carrying out statistics on the element elevation results, and carrying out visualized expression on the element evaluation results respectively; and (6) comparing the visualized expression results with the distribution rule diagram of geometric positioning deviation caused by imaging geometric parameter deviation, selecting the rule diagrams of which deviation direction and positive and negative trends are consistent with those on the visualized diagram, positioning the imaging geometric parameters corresponding to the rule diagram as an imaging system deviation source, and accomplishing the element decomposing and combining analysis in sensing product geometric deviation evaluation.

Description

technical field [0001] The invention discloses an element decomposition and combination method for geometric deviation evaluation of remote sensing products, and belongs to the technical field of evaluation and calibration of aerospace remote sensing. Background technique [0002] After 10 years of development, the geometric quality of domestic land observation satellite products has been greatly improved, but there is still some gap compared with some similar foreign satellites. In this regard, it is necessary to explore the source of geometric deviation from the whole imaging link. Since the geometric deviation of the final product itself includes the comprehensive influence of various factors on the whole link, how to decompose and combine the total deviation and find the regular system deviation will become an important way to improve the geometric quality. [0003] In the previous on-orbit measurement and evaluation technology of push-broom VNIR cameras, the geometric ...

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Problems solved by technology

[0003] In the previous on-orbit measurement and evaluation technology of push-broom VNIR cameras, the geometric deviation was isolated into external geometric deviation and internal geometric deviation, which laid a certain foundation for the analysis of the above problems, but it also has its defects: it cannot be comprehensive and accurate Estimate the systematic law of geometric positioning deviation, and separate attitude and orbit data deviation from other internal orientation element deviations, so it is difficult to give a high-precision geometric correction model

Although there are analysis methods for the relative geometric deviation and source of traditional aerial survey film camera images, push-broom cameras in satellite remote sensing have their own characteristics, and these methods cannot be copied

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