Method, system and medium for calculating relative radiation correction coefficient of optical satellite

Abstract

A method for calculating relative radiation correction coefficient of optical satellite comprises that follow steps: (1) selecting data source for the first time and obtaining file attribute index ofthe data aft the first selection; 2, classifying that data selected for the first time to obtain the classify data; 3, distributing the classified data evenly according to the number of input calculation nodes, and writing the data list and the necessary execution information of each calculation node into the standardized task list; 4, that initial compute node sends the standardize task list to other sub-compute nodes in turn; Each sub-computation node generates a standardized statistical data file, and then sends the standardized statistical data file back to the initial computation node. 5,obtaining a relative radiation correction coefficient by using a histogram match method. The method of the invention synthetically obtains a standard gray-level probability density histogram from a plurality of CCDs of an orbiting satellite, and can give consideration to the relative radiation consistency of a single CCD and a plurality of CCD chips.

Description

technical field [0001] The invention relates to a calculation method, system and medium for relative radiation correction coefficients of optical satellites, and belongs to the field of remote sensing image processing. Background technique [0002] The relative radiometric correction of remote sensing images is a basic data processing work and an extremely important way to improve the quality of remote sensing satellite images. Relative radiation correction methods are mainly divided into calibration method and statistical method. Compared with the calibration method, the statistical method does not require special training data, and the correction coefficient is directly extracted from the image through analysis and statistics to correct the image. Therefore, the current The level 0 image data distributed by the optical satellite image ground data processing center is suitable for relative radiometric correction using statistical methods. [0003] Using histogram trimming ...

AI Technical Summary

Problems solved by technology

However, there are certain limitations in this practical application

First of all, on-orbit satellites generally have multiple imaging CCDs, and the response coefficients of each CCD are difficult to keep consistent. The standard histogram obtained by using a single CCD statistics cannot take into account the entire image; In production, covering enough typical areas will lead to a huge amount of statistical data. The general single-machine statistical processing takes a long time, and it is difficult to ensure the timely update of the relative radiation correction coefficients, which cannot meet the needs of actual production. In addition, relying on manual selection of typical Imaging takes a long time, has poor reliability, and cannot automate the entire production of relative radiometric correction factors

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