Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Ground object recognition method based on hyperspectral image unmixing

A hyperspectral image and feature recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of poor unmixing effect and low feature recognition accuracy, and achieve improved accuracy, high The effect of object recognition accuracy

Active Publication Date: 2014-03-26
XIDIAN UNIV
View PDF2 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because this method does not fully consider the characteristics of hyperspectral images, the unmixing effect is poor, resulting in low accuracy of object recognition

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
  • Ground object recognition method based on hyperspectral image unmixing
  • Ground object recognition method based on hyperspectral image unmixing
  • Ground object recognition method based on hyperspectral image unmixing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0029] Step 1: Input a hyperspectral image, construct a data matrix, and obtain the real object category matrix, real endmember matrix and real abundance matrix of the hyperspectral image.

[0030] 1.1) Input such as figure 2 As shown in the hyperspectral image, the size of the image is 145×145, and there are 16 types of ground objects. Each mixed pixel in the image can be regarded as a spectral vector composed of spectral information of 200 spectral segments;

[0031] 1.2) The hyperspectral image X∈R M×N×L Mixing pixels in X ij ∈R 1×L Arranged in columns to form a data matrix Z∈R L×B , where M and N are the rows and columns of the two-dimensional image, i and j are the abscissa and ordinate of the two-dimensional image, respectively, L is the number of spectral segments, P is the number of object categories, and B is the mixed pixel in the hyperspectral image The tot...

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 ground object recognition method based on hyperspectral image unmixing. The method mainly solves the problem that according to an existing method, the type of a ground object which mixed pixels belong to cannot be accurately judged. The method includes the steps of inputting a hyperspectral image, and arranging the mixed pixels in the hyperspectral image into a matrix to form a data matrix; adding a constraint term composed of a manifold constraint of a data matrix, a sparsity constraint of an abundance matrix and a smoothness constraint of an end member matrix into a target function of an NMF algorithm to form a new target function; carrying out optimal unmixing on the new target function to obtain an end member matrix and an abundance matrix of the hyperspectral image after unmixing; and judging the type of the ground object of all mixed pixels in the hyperspectral image according to the end member matrix and the abundance matrix after unmixing. The method can improve precision of an end member value and an abundance value obtained through unmixing, and accordingly precision of hyperspectral image ground object recognition is improved and the method can be used for target tracking.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and relates to a ground feature recognition method based on hyperspectral image unmixing. The method can be used in the analysis of hyperspectral images, and decomposes a mixed pixel point into endmembers and corresponding abundance values. Background technique [0002] A hyperspectral image is a three-dimensional image obtained by simultaneously imaging dozens or even hundreds of bands of the same surface area with an imaging spectrometer, and consists of two-dimensional spatial information and one-dimensional spectral information. Using these rich spectral information to subdivide and identify ground features has been widely used in many fields. Because the spectral resolution of the spectral sensor of the hyperspectral image is high, there are many spectral segments formed, but the energy received by each spectral segment is small, so the ground area for receiving the s...

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): G06K9/66
Inventor 杨淑媛焦李成黄春海马晶晶马文萍侯彪刘芳程时倩马永刚
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com