Remote sensing image generalized shadow spectrum reconstruction method and system based on statistics

Abstract

The invention discloses a remote sensing image generalized shadow spectrum reconstruction method and system based on statistics, and the method comprises the steps: obtaining remote sensing image datato be subjected to spectrum reconstruction, carrying out the radiometric calibration of the remote sensing image data, converting the remote sensing image data into radiation data, and carrying out the data cutting of a to-be-subjected spectrum reconstruction region; performing mixed spectrum decomposition on the spectrum reconstruction area after data cutting, and extracting a shadow base component; deducing a generalized shadow consistency spectrum reconstruction equation according to a radiation transmission theory; and based on statistical equation estimation, obtaining spectral parameters, and realizing generalized shadow spectral reconstruction of the remote sensing image to be subjected to spectral reconstruction. According to the method, the classical definition of traditional remote sensing image shadows is broken through, a generalized shadow consistency spectrum reconstruction equation is derived, the reconstruction result is natural in color transition, the texture is moreprominent, no edge effect exists, and the effect is very remarkable; and the fidelity of the information recorded by the image data is kept to the greatest extent.

Description

technical field [0001] The invention relates to the technical field of remote sensing image data processing, and in particular discloses a method and system for reconstructing a generalized shadow spectrum of remote sensing images based on statistics. Background technique [0002] The shadow correction or spectral reconstruction of optical remote sensing image data belongs to the research of remote sensing mechanism and method in the classification catalog of the National Natural Science Foundation of China, and the classification code is D0106; in terms of specific research content, it belongs to remote sensing image processing and enhancement. The existence of shadows in remote sensing image data will cause some or all information to be lost, weaken the optical feature information in the image, and thus affect the subsequent remote sensing interpretation and information extraction, especially the quantitative remote sensing inversion and hidden targets based on the reflecti...

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Problems solved by technology

[0008] The present invention provides a method and system for reconstructing the generalized shadow spectrum of remote sensing images based on statistics, aiming to solve the technical problems of the above-mentioned defects existing in the shadow correction of existing remote sensing images

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