A Method and System for Atmospheric Correction of Visible Light Remote Sensing Satellite Images

Abstract

The invention discloses an atmospheric correction method and system for a visible light remote sensing satellite image. The method includes: converting the gray value image of the visible light remote sensing satellite into an apparent radiance image to obtain an apparent reflectance image; The image is classified to obtain the classified image; the atmospheric reflectance image is divided into atmospheric grids according to the atmospheric grid interval to obtain the spatial grid division image; the spatial overlay analysis is carried out on the classification image and the spatial grid division image to obtain The classification attribute, spatial grid attribute, pixel apparent reflectance value and corresponding position association of each pixel in the image; establish an image atmospheric correction model, and perform image atmospheric correction and inversion based on the image atmospheric correction model to determine any ground object The object reflectance in all atmospheric grids in the classification. The invention solves the problem of atmospheric correction in any band of visible light remote sensing satellite images.

Description

technical field [0001] The invention belongs to the technical field of remote sensing satellites, in particular to an atmospheric correction method and system for visible light remote sensing satellite images. Background technique [0002] The atmosphere is the necessary medium for remote sensing imaging to detect, collect and transmit the radiation of ground objects. The radiation of ground objects will have a series of interactions with the atmosphere during the transmission process of the atmosphere, resulting in changes in radiation transmission characteristics, making the information recorded in remote sensing images It cannot truly reflect the radiation information of ground objects, which has a great impact on the quality of remote sensing images and the interpretation and quantitative analysis of remote sensing images. Therefore, to eliminate the influence of the atmosphere on the radiation of ground objects and restore the true colors of ground objects becomes An es...

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Problems solved by technology

Among them, the method based on the ground linear regression model needs to be based on a large number of field spectral measurements of different ground objects, and the measurement cost is high and cannot meet the needs of large-scale quantification; However, in many areas, the atmospheric parameters cannot be obtained or even if the atmospheric parameters are obtained, most of the atmospheric parameters are the atmospheric parameters of the observation points. It is difficult to meet the quantitative requirements of remote sensing in large areas; Quantification is required, but it usually requires the cooperation of multiple remote sensing image bands (for example, the dark target method requires blue light band, red light band and 2.1 μm mid-wave infrared band, and the multi-angle method requires multiple angle information for each band imaging ), it is impossible to realize the atmospheric correction of single-band images or incomplete images of visible light remote sensing satellites, which seriously affects the quantitative application of visible light remote sensing satellite images

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