Adaptive spectral focusing band selection method for hyperspectral image

A hyperspectral image and band selection technology, applied in the field of image processing, can solve the problems of high data dimension of hyperspectral images, large data redundancy between bands, large data volume, etc., to reduce resource requirements, improve utilization efficiency, Improve real-time effect

Inactive Publication Date: 2018-09-28
NANYANG INST OF TECH
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the high dimensionality of hyperspectral image data, the large amount of data, and the large redundancy of data between bands, the Hughes phenomenon will appear, that is, under the premise of

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
  • Adaptive spectral focusing band selection method for hyperspectral image
  • Adaptive spectral focusing band selection method for hyperspectral image
  • Adaptive spectral focusing band selection method for hyperspectral image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0056] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be understoo...

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 an adaptive spectral focusing band selection method for a hyperspectral image. The method comprises the steps of firstly processing whole spectral domain hyperspectral originaldata of a ground object by utilizing three band selection algorithms, arranging results of the algorithms according to a sequence from large to small, and selecting out first N bands as optimal bandcombinations; and secondly assessing the optimal band combinations selected out by the three band selection algorithms by utilizing an independent component analysis (ICA) band assessment function, setting a J threshold, calculating out assessment results of the band combinations, and selecting the band combination with the maximum result as the optimal band combination. By utilizing an adaptive spectral focusing technology, automatic wavelength selection of wave bands can be realized during imaging of a spectrograph; a tunable light filtering component in an imaging control system is adaptively tuned to multiple spectral channels most favorable for detection and identification; spectral adaptive detection is realized; redundant and disorderly spectral information is deleted; the spectralimaging information utilization efficiency is improved; and the resource demand of information processing is reduced.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a hyperspectral image self-adaptive spectral focusing band selection method. Background technique [0002] In the past 30 years, with the development of hyperspectral remote sensing technology and imaging spectrometer, hyperspectral imaging technology has been successfully applied in the field of satellite and airborne remote sensing. However, due to the high dimensionality of hyperspectral image data, the large amount of data, and the large redundancy of data between bands, the Hughes phenomenon will appear, that is, under the premise of a certain number of sample points, the classification accuracy will "increase first" with the increase of the feature dimension. This is an important factor affecting the classification accuracy. Therefore, how to suppress the appearance of the Hughes phenomenon has become an important content of hyperspectral data processi...

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
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/08G06F18/2134
Inventor 唐晓燕王运锋肖东岳高昆刘瑜
Owner NANYANG INST OF TECH
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