A Spectral Angle Mapping Method Aiming at Spectral Uncertainty of Ground Objects

Abstract

The invention discloses a spectral angle mapping method aiming at ground object spectrum uncertainty. The method comprises the following steps of acquiring a test spectrum and a reference spectrum; calculating a spectrum difference by utilizing the test spectrum and the reference spectrum, and constructing a spectrum difference vector according to the spectrum difference, wherein the dimension of the spectrum difference vector is the same as that of a vector of the test spectrum, and the magnitude of each component of the spectrum difference vector is equal to that of the vector of the test spectrum; calculating a spectral angle between the test spectrum and the reference spectrum under a ground object spectrum uncertainty condition by utilizing the spectrum difference vector; and performing spectral angle mapping according to the spectral angle. According to the method, the spectral angle between the test spectrum and the reference spectrum is acquired under the ground object spectrum uncertainty condition by utilizing the spectrum difference, and the spectral angle mapping is performed according to the obtained spectral angle, so that the influence of ground object spectrum uncertainty is eliminated, the ground object recognition accuracy is improved, and the method is relatively high in applicability to the ground object spectrum uncertainty.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a spectral angle mapping method aimed at the spectral uncertainty of ground objects, which is used for hyperspectral remote sensing mineral mapping and target identification. Background technique [0002] Hyperspectral remote sensing data provide a large amount of spectral information of ground objects, which is conducive to fine classification and quantitative remote sensing of ground objects. Spectral angle mapping algorithm (Spectral angle mapping, SAM) is an algorithm based on the overall similarity of spectral curves, which is widely used in the classification of hyperspectral remote sensing information. [0003] The spectral angle mapping algorithm calculates the similarity of the entire spectral curve, which is a global description index, and it is poor in distinguishing features with similar spectral curves. At present, the spectral angle mapping algorithm is main...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a spectral angle mapping method for the spectral uncertainty of surface objects, to solve the problem that the existing spectral angle mapping method does not consider the spectral uncertainty of surface objects

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