NDLI: Improved Robust Kernel Subspace for Object-Based Registration and Change Detection

Content Provider	IEEE Xplore Digital Library
Author	Zhaoyang Zhang Zheng Tian Mingtao Ding Basu, A.
Copyright Year	2004
Abstract	Postclassification comparison is an approach to detect changes in remote sensing images that have strongly inhomogeneous scenes. It is a challenging task to register pre- and postevent scenarios, because variform classifications may induce an inadequate number of homologous points to be used as tie points. In this letter, we show how the variform objects can be precisely registered using their robust kernel subspace. There are two primary contributions in our work. First, a robust kernel subspace analysis method is proposed to capture the common patterns of the variform objects. Second, a registration method based on the common patterns and their preimage are derived. The power of the proposed approach is demonstrated by two real applications: one for lake monitoring in the Jiayu region and the other for damage mapping of earthquake-induced barrier lake at Tangjiashan. The results show that the proposed method is effective in structural pattern analysis and object registration.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	791
Ending Page	795
Page Count	5
File Size	763176
File Format	PDF
ISSN	1545598X
Volume Number	10
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Robustness Lakes Remote sensing Covariance matrix Principal component analysis Earthquakes robust kernel subspace Kernel common patterns kernel principal component (KPC) object-based change detection postclassification comparison precise registration
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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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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