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The availability of very high resolution (VHR) optical sensors, can provide satellite images reaching less than one meter of ground resolution per pixel. It speeds up the development of new techniques addressing change detection applications, in particular, aiming at the damage mapping purpose. The present work is focused on the earthquake of Bam, occurred on 26 December 2003. A pair of VHR optical...
In this paper, we investigate the performance of pulse-coupled neural networks (PCNNs) to detect the damage caused by an earthquake. PCNN is an unsupervised model in the sense that it does not need to be trained, which makes it an operational tool during crisis events when it is crucial to produce damage maps as soon as the post-event images are available. The damage map resulting from PCNN was validated...
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