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Big data statistics-based remote sensing satellite relative radiometric calibration method

A technology for relative radiometric calibration and remote sensing satellites, applied in the field of relative radiometric calibration processing of remote sensing satellites, which can solve the problems of low artificial efficiency of completion and correction, and achieve the effect of accurate tracking

Active Publication Date: 2018-01-09
CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
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Problems solved by technology

[0006] The technical problem of the present invention is to overcome the deficiencies of the existing technology, provide a remote sensing satellite relative radiation calibration processing method based on big data statistics, and solve the current problem of low manual efficiency of remote sensing satellite relative radiation calibration and sample statistical completion

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  • Big data statistics-based remote sensing satellite relative radiometric calibration method
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  • Big data statistics-based remote sensing satellite relative radiometric calibration method

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[0042] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will further describe the public implementation manners of the present invention in detail with reference to the accompanying drawings.

[0043] The invention discloses a remote sensing satellite relative radiation calibration processing method based on big data statistics, which is first applied to the Gaofen-1 (GF-1) satellite and Gaofen-2 (GF-1) satellite, and then successfully applied to the commercial remote sensing satellite SuperView-1 (SuperView-1), which is suitable for relative radiometric calibration of on-orbit push-broom optical remote sensing satellites. This method improves the on-orbit relative calibration. Accuracy and speed, and can realize online on-orbit relative radiation calibration coefficient update.

[0044] refer to figure 1 , shows a flow chart of steps of a remote sensing satellite relative radiation calibration processing method b...

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Abstract

The invention discloses a big data statistics-based remote sensing satellite relative radiometric calibration method. The method comprises the following steps of: carrying out histogram statistic on data by adoption of a remote sensing satellite 0-level stripe data full statistic method; solving a statistical probability according to the histogram statistic, and carrying out boundary processing ona DN value which is 0 and a DN value which is a maximum quantized value; matching a histogram with the statistical probability to form a search table; and carrying out relative radiometric calibration on 0-level data according to the search table. Through the method, the problem that existing remote sensing satellite relative radiometric calibration is low in labor efficiency and incomplete in sample statistic is solved.

Description

technical field [0001] The invention belongs to the technical field of on-orbit satellite remote sensing image processing, and in particular relates to a remote sensing satellite relative radiation calibration processing method based on big data statistics. Background technique [0002] At present, the radiation of mainstream domestic remote sensing satellites mainly uses the statistical method to perform systematic radiation correction on remote sensing image products, which is the optimal solution under the current circumstances. Before this method, the laboratory coefficient correction method was mainly used for correction. [0003] Compared with the laboratory coefficient method, the statistical method has obvious advantages. The traditional laboratory coefficients are obtained from the pre-launch laboratory. Due to the difference between the ground environment and the space environment, various states of the camera change after going to the sky, resulting in abnormalit...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 钟慧敏徐文龙小祥喻文勇王小燕李庆鹏
Owner CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
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