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Hyperspectral remote sensing image classification method and system based on visual saliency

A technology of hyperspectral remote sensing and classification method, which is applied in instrument, character and pattern recognition, scene recognition and other directions, can solve the problem of low utilization of spatial information, and achieve the effect of improving classification accuracy, reducing complexity and reducing classification error.

Active Publication Date: 2019-11-15
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0013] The technical problem addressed by the present invention is the technical defect of low spatial information utilization rate when extracting hyperspectral remote sensing image features, and proposes a hyperspectral remote sensing image classification method and system based on visual saliency

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  • Hyperspectral remote sensing image classification method and system based on visual saliency

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Embodiment Construction

[0031] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0032] The proposed hyperspectral remote sensing image feature extraction and classification framework of the present invention is as follows: figure 1 shown. The details are as follows:

[0033] (1) Dimensionality reduction processing by principal component analysis

[0034] According to the principal component analysis method, the original hyperspectral remote sensing image R 1 Perform dimensionality reduction to obtain hyperspectral remote sensing image R 2 The process is as follows:

[0035] With X=(x 1 ,x 2 ,...,x Q )=(X 1 ,X 2 ,...,X B ) T Represents the original hyperspectral remote sensing image R 1 , where x i Represents the original hyperspectral remote sensing image R 1 The i-th pixel of , i=1,2...

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Abstract

The invention discloses a hyperspectral remote sensing image classification method and system based on visual saliency. The method mainly solves the problem of low space information utilization rate during hyperspectral remote sensing image feature extraction. The information of the spatial dimension can visually reflect the real shape and category of the ground object. The visual saliency mechanism can simulate the visual characteristics of people through an intelligent algorithm. A salient region (i.e., a region of interest of human) in an image is extracted; by extracting the saliency features, a target different from the surrounding background can be detected without prior information, the main content of the image is highlighted, the complexity of image processing and analysis is reduced. Finally, classification is performed by combining spectral information, classification errors can be effectively reduced, and the classification precision is improved.

Description

technical field [0001] The present invention relates to the field of hyperspectral remote sensing image classification, more specifically, to a hyperspectral remote sensing image classification method and system based on visual saliency. Background technique [0002] Hyperspectral remote sensing images refer to spectral resolution up to 10 -2 Images acquired by a hyperspectral instrument of the order of λ. A hyperspectral remote sensing image is similar to a three-dimensional cube, which corresponds to multiple dimensions from top to bottom. The plane information collected in each dimension is generally called spatial information; the vector composed of pixels at the same position in each dimension is generally Call it spectral information. [0003] Remote sensing is a long-distance, non-contact target detection technology and method, and it is an important means for people to study the characteristics of ground objects. With the rapid development of hardware technology a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00G06K9/32G06K9/40G06K9/46
CPCG06V20/194G06V20/13G06V10/30G06V10/25G06V10/40G06F18/2135G06F18/2411G06F18/253
Inventor 刘小波尹旭汪敏蔡耀明张超超周志浪
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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