Title:
NEIGHBORING SUBSPACE DIVISION-BASED HYPERSPECTRAL IMAGING BAND SELECTION METHOD AND SYSTEM
Document Type and Number:
WIPO Patent Application WO/2022/166363
Kind Code:
A1
Abstract:
A neighboring subspace division-based hyperspectral imaging band selection method and system. The method comprises: S11. inputting a hyperspectral imaging cube, and calculating a correlation coefficient between any two adjacent bands that the inputted hyperspectral imaging cube comprises to produce a vector of the correlation coefficient; S12. searching for all correlation coefficient extreme points on the basis of the produced vector of the correlation coefficient, filtering out a correlation coefficient minimum point from all of the correlation coefficient extreme points found, determining, by means of the correlation coefficient minimum point filtered out, optimally divided hyperspectral band subspaces; S13. sorting the subspaces on the basis of the size of the number of bands in the subspaces, calculating information entropy of the bands in each subspace, and selecting a required number of characteristic bands from the subspaces on the basis of the information entropy produced by calculation. The method ensures that the final selected band comprises relative intact information.
Inventors:
ZHU XINZHONG (CN)
XU HUIYING (CN)
WANG JUN (CN)
TANG CHANG (CN)
ZHAO JIANMIN (CN)
XU HUIYING (CN)
WANG JUN (CN)
TANG CHANG (CN)
ZHAO JIANMIN (CN)
Application Number:
PCT/CN2021/135928
Publication Date:
August 11, 2022
Filing Date:
December 07, 2021
Export Citation:
Assignee:
UNIV ZHEJIANG NORMAL (CN)
International Classes:
G01N21/17; G01N21/01
Foreign References:
| CN113075129A | 2021-07-06 | |||
| CN103886334A | 2014-06-25 | |||
| CN107124612A | 2017-09-01 | |||
| CN103065293A | 2013-04-24 | |||
| CN104122210A | 2014-10-29 | |||
| US20190293620A1 | 2019-09-26 | |||
| US8081825B2 | 2011-12-20 |
Other References:
WANG QI, ET AL.: "Hyperspectral band selection via adaptive subspace partition strategy", IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, vol. 12, no. 12, 31 December 2019 (2019-12-31), pages 4940 - 4950, XP011770034, DOI: 10.1109/JSTARS.2019.2941454
"Chinese Master Thesis Hunan University", 28 February 2019, HUNAN UNIVERSITY, CN, article JI CHUNRUI: "Research on Feature Extraction and Classification Recognition Algorithm for Hyperspectral", pages: 1 - 124, XP055957297
WU YIQUAN, ZHOU YANG, SHENG DONG-HUI, YE XIAO-LAI: "Band Selection of Hyperspectral Image based on Optimal Linear Prediction of Principal Components in Subspace", HONGWAI YU HAOMIBO XUEBAO - JOURNAL OF INFRARED AND MILLIMETERWAVES, KEXUE CHUBANSHE, BEIJING, CN, vol. 37, no. 1, 28 February 2018 (2018-02-28), CN , pages 119 - 128, XP055957316, ISSN: 1001-9014
MA LI 、: "Band Selection Algorithm for Hyperspectral Images Using Weighted Band Index", HEILONGJIANG SCIENCE AND TECHNOLOGY INFORMATION, HEILONGJIANG SCIENCE POPULARIZATION CENTER, CN, no. 4, 5 February 2010 (2010-02-05), CN , pages 71, XP055957330, ISSN: 2096-4390
"Chinese Master Thesis Hunan University", 28 February 2019, HUNAN UNIVERSITY, CN, article JI CHUNRUI: "Research on Feature Extraction and Classification Recognition Algorithm for Hyperspectral", pages: 1 - 124, XP055957297
WU YIQUAN, ZHOU YANG, SHENG DONG-HUI, YE XIAO-LAI: "Band Selection of Hyperspectral Image based on Optimal Linear Prediction of Principal Components in Subspace", HONGWAI YU HAOMIBO XUEBAO - JOURNAL OF INFRARED AND MILLIMETERWAVES, KEXUE CHUBANSHE, BEIJING, CN, vol. 37, no. 1, 28 February 2018 (2018-02-28), CN , pages 119 - 128, XP055957316, ISSN: 1001-9014
MA LI 、: "Band Selection Algorithm for Hyperspectral Images Using Weighted Band Index", HEILONGJIANG SCIENCE AND TECHNOLOGY INFORMATION, HEILONGJIANG SCIENCE POPULARIZATION CENTER, CN, no. 4, 5 February 2010 (2010-02-05), CN , pages 71, XP055957330, ISSN: 2096-4390
Attorney, Agent or Firm:
BEIJING TIANDA INTELLECTUAL PROPERTY OFFICE (CN)
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