Enhancement type sparse representation hyperspectral image classifying device and method based on space information constraint

A hyperspectral image, sparse representation technology, applied in the field of enhanced sparse representation hyperspectral image classification, can solve the problem of poor performance of hyperspectral image classification

Active Publication Date: 2015-12-30
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

Hyperspectral images have poor classification performance due to the above issues

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  • Enhancement type sparse representation hyperspectral image classifying device and method based on space information constraint
  • Enhancement type sparse representation hyperspectral image classifying device and method based on space information constraint
  • Enhancement type sparse representation hyperspectral image classifying device and method based on space information constraint

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Embodiment Construction

[0030] In order to make the object, technical solution and advantages of the present invention clearer, the following is a detailed description of an example of the solution of the present invention based on the MATLAB2013a software platform with reference to the accompanying drawings. Using a typical AVIRIS hyperspectral remote sensing image (size 145×145×220), the specific implementation steps of this scheme are as follows:

[0031] 1. The traditional sparse representation initial classification stage:

[0032] The original pixel signal x t Substitute into category dictionary A=[A 1 ,A 2 ,...,A C ] to carry out sparse reconstruction, and obtain the sparse reconstruction coefficient vector α i , by the least squares method according to the formula: Find the sparse representation coefficient vector. Among them, A Λi for x t The spectrum is the set of supporting atoms selected from the i-type dictionary, t∈T is the serial number of the signal to be measured, and T is t...

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Abstract

The invention relates to the field of hyperspectral image classification, and particularly discloses an enhancement type sparse representation hyperspectral image classifying device and method based on space information constraint. The method comprises the steps that the similarity between a reconstruction pixel and an original pixel are calculated through a normalized Euclidean distance, category feature information is introduced when pixel categories are calculated, space information of eight neighborhoods around the pixel to be measured is extracted, the space information weight is set, and the space classification weight is combined with the spectrum similarity on which the normalized Euclidean distance calculation is carried out to form a classification model based on space information and spectrum information; repeated planning is carried out on pixel categories to be measured, and a residual value and the space information weight are calculated again. The method can effectively improve hyperspectral image classifying precision and has the strong generalization ability.

Description

technical field [0001] The invention relates to the field of hyperspectral image classification, in particular to an enhanced sparse representation hyperspectral image classification method. Background technique [0002] Hyperspectral remote sensing (Hyperspectral remote sensing), also known as hyperspectral remote sensing, is currently the most widely used Airborne Visible Imaging Spectrometer (AVIRIS) developed by NASA Jet Laboratory. Hyperspectral remote sensing images objectively and truly record and reflect the intensity of electromagnetic radiation of surface objects according to a certain ratio, and are a representation of remote sensing information obtained by remote sensing detection. Therefore, the core issue of the application of remote sensing hyperspectral technology is According to the characteristics of the intensity of electromagnetic radiation of ground objects on remote sensing images, the category and distribution characteristics of ground objects are inte...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23213
Inventor 陈善学屈龙瑶桂成名胡灿
Owner CHONGQING UNIV OF POSTS & TELECOMM
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