NDLI: Unsupervised Classification of Spectropolarimetric Data by Region-Based Evidence Fusion

Content Provider	IEEE Xplore Digital Library
Author	Yongqiang Zhao Guohua Zhang Feiran Jie Shibo Gao Chao Chen Quan Pan
Copyright Year	2004
Abstract	Imaging spectropolarimetry is a new sensing method that can acquire the spectral, polarimetric, and spatial information of an interesting scene. They give the incomplete representations of a scene, respectively, and it is expected that combination of them will improve confidence in target identification and quality of the scene description. In this letter, a divide-and-conquer-based unsupervised spectropolarimetric data classification method is proposed to utilize the spatial, spectral, and polarimetric information jointly. First, a spectropolarimetric projection scheme is proposed to divide the whole data set into two parts: spatial-spectral and spatial-polarimetric domains. Then, a nonparametric technique is used to extract the homogeneous regions in these two domains. Each homogeneous region offers a reference spectrum and polarization, based on which a pseudosupervised spectropolarimetric classification scheme is developed by using evidence theory to fuse the information provided by the spectrum and polarization. The experimental results on real spectropolarimetric data demonstrate that the proposed divide-and-conquer-based classification scheme can achieve higher accuracy than the fuzzy c-means clustering method with spatial information constraints, which takes into account the spatial information during spectral and polarimetric clustering. Moreover, the experimental results also show the potential of spectropolarimetric classification.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	755
Ending Page	759
Page Count	5
File Size	131748
File Format	PDF
ISSN	1545598X
Volume Number	8
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pixel Imaging Pollution measurement Materials Hyperspectral imaging Accuracy spectropolarimetric data classification Evidence theory information fusion remote sensing
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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