NDLI: A novel hierarchical approach to change detection with very high resolution SAR images for surveillance applications

Content Provider	IEEE Xplore Digital Library
Author	Bovolo, F. Marin, C. Bruzzone, L.
Copyright Year	2012
Description	Author affiliation: Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 14 I-38123, Povo, Italy (Bovolo, F.; Marin, C.; Bruzzone, L.)
Abstract	This paper proposes an approach to change detection in multitemporal very high geometrical resolution (VHR) SAR images for surveillance applications. The approach takes advantage of 3 concepts: i) multiscale representation for a preliminary detection of areas showing significant changes in backscattering between the two images (hot spots); ii) exploitation of prior information about typical usage of zones of interest in the area under control; and iii) definition of features and change detectors optimized for an effective detection of specific changes in each zone of interest. Here the proposed approach is designed for the solution of surveillance problems. A data set made up of a pair of multitemporal VHR SAR images acquired by the COSMO-SkyMed $(CSK^{®})$ constellation in spotlight mode on the commercial port of Livorno (Italy) was used. Experimental results point out the effectiveness of the proposed approach.
Starting Page	1992
Ending Page	1995
File Size	555244
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6351110
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Synthetic aperture radar Backscatter Image resolution Marine vehicles Containers Surveillance Feature extraction Remote Sensing Multitemporal images Change detection Very high geometrical resolution images Image processing
Content Type	Text
Resource Type	Article

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