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An Approach for Detecting Changes Related to Natural Disasters Using Synthetic Aperture Radar Data : Volume Xl-7/W3, Issue 1 (29/04/2015)

By Milisavljevic, N.

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Book Id: WPLBN0004016025
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: An Approach for Detecting Changes Related to Natural Disasters Using Synthetic Aperture Radar Data : Volume Xl-7/W3, Issue 1 (29/04/2015)  
Author: Milisavljevic, N.
Volume: Vol. XL-7/W3, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus Publications
Historic
Publication Date:
2015
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Milisavljevic, N., Pasquali, P., Collivignarelli, F., Holecz, F., & Closson, D. (2015). An Approach for Detecting Changes Related to Natural Disasters Using Synthetic Aperture Radar Data : Volume Xl-7/W3, Issue 1 (29/04/2015). Retrieved from http://ebooklibrary.org/


Description
Description: Department of Communication Information Systems & Sensors (CISS), Royal Military Academy (RMA), Brussels, Belgium. Land-cover changes occur naturally in a progressive and gradual way, but they may happen rapidly and abruptly sometimes. Very high resolution remote sensed data acquired at different time intervals can help in analyzing the rate of changes and the causal factors. In this paper, we present an approach for detecting changes related to disasters such as an earthquake and for mapping of the impact zones. The approach is based on the pieces of information coming from SAR (Synthetic Aperture Radar) and on their combination. The case study is the 22 February 2011 Christchurch earthquake.

The identification of damaged or destroyed buildings using SAR data is a challenging task. The approach proposed here consists in finding amplitude changes as well as coherence changes before and after the earthquake and then combining these changes in order to obtain richer and more robust information on the origin of various types of changes possibly induced by an earthquake. This approach does not need any specific knowledge source about the terrain, but if such sources are present, they can be easily integrated in the method as more specific descriptions of the possible classes.

A special task in our approach is to develop a scheme that translates the obtained combinations of changes into ground information. Several algorithms are developed and validated using optical remote sensing images of the city two days after the earthquake, as well as our own ground-truth data. The obtained validation results show that the proposed approach is promising.


Summary
An approach for detecting changes related to natural disasters using Synthetic Aperture Radar data

 

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