Radiation quality detection method and system for multi-source satellite remote sensing image product

Abstract

The invention provides a radiation quality detection method and system for a multi-source satellite remote sensing image product, and relates to the field of remote sensing image quality detection. The method comprises the following steps: firstly, acquiring a multi-source satellite remote sensing image to obtain original image information; and then geometric accuracy correction processing is carried out on the original image information to obtain geometric accuracy corrected image information. And carrying out atmospheric correction processing on the geometric accuracy correction image information to obtain atmospheric correction processing image information. And carrying out image enhancement processing on the atmospheric correction processing image information to obtain enhanced processing image information. And finally, performing radiation quality inspection on the enhanced image information to obtain a radiation quality inspection result. Through the method provided by the invention, the radiation quality of the multi-source satellite remote sensing image product can be accurately and effectively detected.

Description

technical field [0001] The invention relates to the field of remote sensing image quality inspection, in particular to a radiation quality detection method and system for multi-source satellite remote sensing image products. Background technique [0002] With the rapid development of remote sensing technology, many remote sensing users are deeply troubled by the problem of how to select the required data from the massive data for storage and use. Therefore, it is of great significance to study the quality evaluation of remote sensing images. Remote sensing image quality includes radiation quality, geometric quality, image attachment quality and other aspects. Since the image is essentially the embodiment of radiation energy in two-dimensional space, and it will be affected by various radiation deviations in the process of remote sensing imaging, the radiation quality detection of remote sensing images is the most important and the most complicated. [0003] In the prior art...

AI Technical Summary

Problems solved by technology

The remote sensing imaging process will be affected by a variety of radiation degradation, such as blur, noise, sampling, quantization, clouds, invalid pixels, etc. However, the existing remote sensing image radiation quality inspection methods are affected by the above radiation degradation The drop cannot be effectively tested, and there will be a large detection error, resulting in low reliability of the final radiation quality test

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