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Hyperspectral image classification method and device combined with spectral space multi-layer perceptron

A multi-layer perceptron and image classification technology, which is applied to instruments, character and pattern recognition, computer components, etc., to achieve high classification accuracy and improve classification performance

Pending Publication Date: 2021-12-28
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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Problems solved by technology

However, existing classification methods have limitations in dealing with the long-range correlation of spectral dimensions and simultaneously extracting local spatial features from the spatial domain, which are crucial for the representation of hyperspectral images.

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  • Hyperspectral image classification method and device combined with spectral space multi-layer perceptron
  • Hyperspectral image classification method and device combined with spectral space multi-layer perceptron
  • Hyperspectral image classification method and device combined with spectral space multi-layer perceptron

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Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0037] Aiming at the limitations of hyperspectral image deep learning classification methods in terms of spectral and spatial feature representation, this embodiment proposes a hyperspectral image classification method that combines spectral-spatial multi-layer perceptron (SSMLP), such as figure 1 As shown, the method uses a dual-branch multi-layer perceptron network structure that combines spectral multi-layer perceptron and spatial multi-layer perceptron to e...

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Abstract

The invention belongs to the technical field of hyperspectral image classification, and particularly relates to a hyperspectral image classification method and device combined with a spectral space multi-layer perceptron, and the method comprises the steps: firstly extracting global spectral features from a hyperspectral image through a spectral multi-layer perceptron; then extracting local spatial features from the hyperspectral image by using a spatial multilayer sensor; and finally, fusing the global spectral features and the local spatial features by using a multi-layer perceptron to perform joint classification on the hyperspectral image. The spectral features and the spatial features can be extracted from the hyperspectral image, the features can be effectively fused and then combined classification is carried out, and the invention has high classification precision.

Description

technical field [0001] The invention belongs to the technical field of hyperspectral image classification, and in particular relates to a method and device for hyperspectral image classification combined with a spectral-spatial multilayer sensor. Background technique [0002] Remote sensing technology is one of the important components of earth observation. It can use its specific reflection characteristics to identify the observation scene without touching the object. Imaging spectrometers are capable of acquiring nearly continuous spectral information from visible to infrared wavelengths, and the obtained hyperspectral images (HSIs) have hundreds of diagnostic spectral bands for subsequent information extraction. Hyperspectral image classification is the most dynamic research direction in the field of hyperspectral remote sensing, and its purpose is to classify each pixel into a specific category. At present, hyperspectral image classification has been widely used in fiel...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/254G06F18/253
Inventor 谭熊薛志祥刘冰魏祥坡余旭初张鹏强张艳高奎亮左溪冰孙一帆
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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