Hyperspectral image target detection method based on variational self-coding network

Abstract

The invention provides a hyperspectral image target detection method based on a variational self-coding network, which mainly solves the technical problem of low detection precision in the prior art,and comprises the following steps of: obtaining a to-be-detected hyperspectral image and a real spectral vector of a to-be-detected target; constructing a variational self-coding network, and trainingthe variational self-coding network; obtaining a feature map of the to-be-detected hyperspectral image; calculating a spectral vector corresponding to the position of the maximum pixel value in eachfeature map in the to-be-detected hyperspectral image; calculating a spectral angle between each spectral vector and a real spectral vector; obtaining a fusion image; obtaining an initial detection image of the to-be-detected hyperspectral image; and obtaining a final detection target of the to-be-detected hyperspectral image. According to the method, the frequency band interference in the hyperspectral image can be reduced, redundant information is reduced, a target and a complex background in the hyperspectral image are better distinguished, the detection precision of a target point is improved, and meanwhile, the complexity of data processing is reduced.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a hyperspectral image target detection method, in particular to a hyperspectral image target detection method based on a variational self-encoding network, which can be used to detect hyperspectral image and known spectral curves from hyperspectral images similar goals. Background technique [0002] The hyperspectral image of the object to be measured obtained by the hyperspectral imager contains rich spatial, spectral and radiation information of the object to be measured. or pixel groups to obtain their radiation intensity and spectral characteristics for the target. Different substances have their unique spectral features, and hyperspectral images contain spectral information of various substances. Matching the known spectral curves of target substances with the spectral curves of each spectral vector in the hyperspectral image can effectively identify the However, th...

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Problems solved by technology

[0006] The purpose of the present invention is to address the shortcomings of the above-mentioned prior art, and propose a hyperspectral image target detection method based on variational self-encoding network, which is used to solve the technical problem of low detection accuracy existing in the prior art

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