Space spectrum combined feature extracting method for hyperspectral images

A hyperspectral image and joint feature technology, which is applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of classification accuracy decline, pitting, etc., and achieve the effect of improving classification accuracy, increasing utilization, and ingenious combination

Active Publication Date: 2017-05-17
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Such processing methods will inevitably lead to the phenomenon of "pockmarks", that is, other categories that should not be mixed in the same plot, resulting in a decrease in classification accuracy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Space spectrum combined feature extracting method for hyperspectral images
  • Space spectrum combined feature extracting method for hyperspectral images
  • Space spectrum combined feature extracting method for hyperspectral images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0031] The principle of the present invention is: use the abscissa and ordinate of the image pixel to generate a new characteristic image of the hyperspectral image respectively; then perform statistical feature extraction on each band of the hyperspectrum to obtain the average maximum value and the average minimum value of the hyperspectral image pixels; The new feature image composed of abscissa and ordinate is gray-scale stretched according to the average statistical characteristics; the gray-scale stretched abscissa image and ordinate image are inserted into the hyperspectral image to form a new hyperspectral image containing spatial information ;Using principal component analysis for feature extraction, the image features of spatial domain and spectral domain fusion can be obtained.

[0032] refer to figure 1 , the hyperspectral image cl...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a space spectrum combined feature extracting technology for hyperspectral image classification and belongs to a field of remote sensing image processing. The method includes steps of 1, utilizing pixel coordinates to generate an abscissa image and an ordinate image; 2, calculating the statistic features of the hiyperspectral images; 3, performing range stretching on the abscissa image and the ordinate image by utilizing the statistic features; 4, inserting the coordinate images into an initial hyperspectral images; 5, performing fusion and extraction on the feature by utilizing principal component analysis. According to the invention, hyerspectral image space features are converted to spectrum features and fusion of the space features and the spectrum features is realized by utilizing the principal component analysis method, so that a problem of insufficient use of hyperspectral image classification space features is solved. The method is good in adaptability and simple in calculation, and can improve hyperspectral image classification precision effectively.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and in particular relates to a joint feature extraction method of spatial domain and spectral domain for hyperspectral image classification. Background technique [0002] The ground object classification technology based on remote sensing images has always been an important research direction of remote sensing image processing technology. Compared with ordinary remote sensing images, hyperspectral images have an advantage of adding rich spectral dimension information. The spectral information of the hyperspectral image can fully reflect the differences in the physical structure characteristics and chemical composition characteristics of the target, so as to realize the distinction of the spectral dimension of the object. Therefore, the full mining of spectral information by hyperspectral technology imaging determines that hyperspectral remote sensing has unique advantages ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/52G06K9/62
CPCG06V10/42G06F18/24
Inventor 孙康陈金勇谷宏志刘翔
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap