Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 28, Issue 13-14, Pages 3013-3036Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/01431160601094492
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This paper discusses a general methodology for post-tsunami damage assessment and an automatic procedure able to distinguish between different kinds of damage on built-up structures using very-high-resolution satellite data. The procedure for automatic detection of damaged built-up structures was designed using a multi-criteria approach fusing radiometric, textural, and morphological image features related to pre-and post-disaster data detection. The proposed procedure shows good performance with an estimated overall accuracy equal to 93.97%. The best performances are estimated in the discrimination between non-flooded and flooded built-up structures and in the recognition of collapsed builtup structures with debris in place. Problems of omission error were detected in the recognition of collapsed built-up structures without debris in place as in the case of completed erased built-up structures situated close to the shoreline.
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