作者: Mostapha Mohammad Harb , Daniele De Vecchi , Fabio Dell'Acqua
DOI: 10.1109/MGRS.2015.2398672
关键词: Natural hazard 、 Spatial analysis 、 Data mining 、 Dissemination 、 Computer science 、 Set (psychology) 、 Vulnerability (computing) 、 Remote sensing (archaeology) 、 Risk management 、 Feature extraction
摘要: Risk from natural hazards and its direct effect in disrupting human livelihood is of paramount interest for maintaining a sustainable development, remote sensing can be valuable tool collecting relevant information to assess mitigate risk. This paper focuses on monitoring the vulnerability term risk equation, particular physical factor using imagery. It provides an overview state-of-the-art methodologies used extracting set selected indicators. The building defined as probability structural failure extreme situation like quakes. Although very difficult compute precisely, it estimated indirectly through representative indicators called ?proxies?. literature offers different techniques items When optical satellite images are used, both types information, geometrical spectral, useful extract features connected proxies. Therefore, algorithms that combine spectral spatial would more effective choice exploring content acquired data. relationship between aggregation method expected produce time-changing synoptic view. extracted then mapping so support decision-making help optimizing selection management strategy.