期刊论文详细信息
Remote Sensing
Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing
Conrad Bielski1  Simone Gentilini2 
[1] Institute for the Protection and Security of the Citizen, Joint Research Centre of the European Commission, via Enrico Fermi 2749, I-21027 Ispra, Italy;Institute for Environment and Sustainability, Joint Research Centre of the European Commission, via Enrico Fermi 2749, I-21027 Ispra, Italy; E-Mail:
关键词: post-disaster;    building damage assessment;    web processing service;    security;    image processing;   
DOI  :  10.3390/rs3061234
来源: mdpi
PDF
【 摘 要 】

The goal of the two year Ground European Network for Earth Science Interoperations-Digital Repositories (GENESI-DR) project was to build an open and seamless access service to Earth science digital repositories for European and world-wide science users. In order to showcase GENESI-DR, one of the developed technology demonstrators focused on fast search, discovery, and access to remotely sensed imagery in the context of post-disaster building damage assessment. This paper describes the scenario and implementation details of the technology demonstrator, which was developed to support post-disaster damage assessment analyst activities. Once a disaster alert has been issued, response time is critical to providing relevant damage information to analysts and/or stakeholders. The presented technology demonstrator validates the GENESI-DR project data search, discovery and security infrastructure and integrates the rapid urban area mapping and the near real-time orthorectification web processing services to support a post-disaster damage needs assessment analysis scenario. It also demonstrates how the GENESI-DR SOA can be linked to web processing services that access grid computing resources for fast image processing and use secure communication to ensure confidentiality of information.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.

【 预 览 】
附件列表
Files Size Format View
RO202003190049299ZK.pdf 317KB PDF download
  文献评价指标  
  下载次数:10次 浏览次数:16次