期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN:2194-9042
电子版ISSN:2194-9050
出版年度:2000
卷号:XXXIII Part B1
页码:266-271
出版社:Copernicus Publications
摘要:Recently, Canada had to deal with three major natural disasters over a short period of time: flooding in the Saguenay area (province of Quebec) following heavy rain and the collapse of a water dam, flooding in Manitoba and an ice storm in Quebec and Ontario. In each of these situations, the emergency services faced two mapping problems: a) the need for up-to-date existing topographical information on both digital and classical (paper) support showing the situation before the emergency situation (i.e., position of existing roads, bridges, community facilities, houses, etc.); b) to acquire as quickly as possible, digital (eventually georeferenced) images from the disaster area in order to understand the situation, to evaluate the damage and the risk of injuries or additional damage and for the supervision of the rescue effort. In the past, emergency services have used video recording from helicopters for reconnaissance purposes (disaster understanding and evaluation) but these images had a poor resolution and no metric quality. We propose the use of a new "Digital Multicamera System" able to provide imagery for both rapid reconnaissance and emergency mapping. In order to demonstrate the feasibility of such a system, the present research work had two major goals: 1. To build a "Digital Multicamera System" for airborne image data collection by using 2 or more (preferably 4) digital frame cameras in order to maintain a higher image resolution over a wide area. Also, adapt software for the system calibration and for data extraction based on the results of a bundle adjustment. 2. To test this "Digital Multicamera System" in real flight conditions as an airborne image acquisition system and evaluate its potential for real-time emergency mapping by using a radio link for image data download
关键词:Digital Camera; CCD Camera; Real Time Mapping; Multiple Sensors System; Sensors Integration