NDLI: Change detections from sar images for damage estimation based on a spatial chaotic model

Content Provider	IEEE Xplore Digital Library
Author	Tzeng, Y.C. Chiu, S.H. Chen, D. Chen, K.S.
Copyright Year	2007
Description	Author affiliation: Nat. United Univ., Miaoli (Tzeng, Y.C.; Chiu, S.H.; Chen, D.)
Abstract	Because of its all-weather and all-time characteristics, SAR images are particularly effective to monitor disaster events. When a disaster occurs, the image acquired from a SAR sensor changes dramatically. As a result, damage estimation for natural and human-made disasters from SAR images can be achieved by applying a change detection technique. Theoretically, SAR signals can be characterized as a chaotic phenomenon because that the scattering signals within a resolution cell are summed up coherently. Accordingly, SAR signal can be represented by a spatial chaotic model and characterized by its fractal dimension. In this paper, based on the spatial chaotic model, a simplified SAR image change detection procedure is proposed. The proposed method is then applied to estimate the flood-damage area caused by flooding events. Experimental results reveal that the proposed method is an effective and efficient tool for damage estimation from SAR images.
Starting Page	1926
Ending Page	1930
File Size	891404
Page Count	5
File Format	PDF
ISBN	9781424412112
DOI	10.1109/IGARSS.2007.4423203
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Speckle Remote monitoring Floods Polarization Image sensors Sensor phenomena and characterization Fractals Surface morphology Filters fractal dimension change detection spatial chaotic model
Content Type	Text
Resource Type	Article

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