Calculation method, system and medium of optical satellite relative radiation correction coefficient

Abstract

A method for calculating the relative radiation correction coefficient of optical satellites, including the following steps: Step 1: Select the data source for the first time, and obtain the file attribute index of the data after the first selection; Step 2: Select the data after the first selection Classify the data and obtain the classified data; Step 3. Distribute the classified data evenly according to the number of input computing nodes, and write the data list and necessary execution information of each computing node into the standardized task list; Step 4. The initial computing node sends the standardized task list to other sub-computing nodes in turn; each sub-computing node generates a standardized statistical data file and then sends it back to the initial computing node; Step 5: Use the histogram matching method to obtain the relative radiation correction coefficient. The method of the present invention obtains a standard grayscale probability density histogram from multiple CCDs of an on-orbit satellite, and can take into account the relative radiation consistency of the single CCD itself and among multiple CCDs.

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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