NDLI: Unsupervised classification of POLSAR data based on the improved affinity propagation clustering

Content Provider	IEEE Xplore Digital Library
Author	Shuang Wang Yachao Liu Kun Liu Xiaojin Hou Biao Hou
Copyright Year	2013
Description	Author affiliation: DFH Satellite Co. Ltd., Beijing, China (Xiaojin Hou) \|\| Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi'an, China (Shuang Wang; Yachao Liu; Kun Liu; Biao Hou)
Abstract	In this paper, the AP clustering algorithm is improved by defining a new similarity to be applied in the polarimetric SAR image classification. On this basis, a new unsupervised classification method is proposed which combines the Four-component decomposition and the improved AP clustering. The proposed method mainly consists of three steps: Firstly, Four-component decomposition is adopted to produce initial segmentation. Secondly, the improved affinity propagation clustering based on the Wishart distance measure is applied on the initial segmentation to merge clusters and obtain an appropriate number of categories. Finally, an iterative algorithm based on the complex wishart density function is applied. The effectiveness of this algorithm is demonstrated by the test with NASA/JPL AIRSAR L-band data of San Francisco and Flevoland.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	3207
Ending Page	3210
File Size	592396
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723509
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms Classification algorithms Synthetic aperture radar Scattering Image classification Remote sensing Geoscience terrain classification polarimetric synthetic aperture radar Affinity propagation clustering polarimetric decomposition
Content Type	Text
Resource Type	Article

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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
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