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

A technology of hyperspectral image and self-encoding network, which is applied in hyperspectral image target detection based on variational self-encoding network and in the field of hyperspectral image target detection, which can solve the problems of low detection accuracy and improve detection accuracy and efficiency , Solve the effect of complex data processing and low detection accuracy

Active Publication Date: 2019-07-12
陕西丝路天图卫星科技有限公司
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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 ...

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

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[0041] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0042] refer to figure 1 , the present invention comprises the following steps:

[0043] Step 1) Obtain the hyperspectral image to be detected and the real spectral vector of the target to be detected:

[0044]Select the hyperspectral image I to be detected with a size of W×H×L from the hyperspectral image library, and the real spectral vector d similar to the spectral curve of the target to be detected contained in the hyperspectral image I to be detected, where W, H , L are the width, height, and number of bands of the hyperspectral image I to be detected respectively, W>0, H>0, L≥100, and the hyperspectral image I to be detected in this example is an airborne visible light / infrared imaging spectrometer (AVIRIS) The collected real hyperspectral image has a size of 80×100×189, and the real spectral vector d is the spectral vector o...

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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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Application Information

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IPC IPC(8): G06K9/20G06K9/62G06T5/00G06T5/50
CPCG06T5/002G06T5/50G06T2207/10036G06T2207/20221G06V10/143G06V2201/07G06F18/214
Inventor 谢卫莹尹雅平雷杰阳健李云松
Owner 陕西丝路天图卫星科技有限公司
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