Title :
Synthetic aperture radar and search and rescue: Studies in the Canadian North
Author :
Lukowski, Tom I. ; Secker, Jeff ; Ghazel, Mohsen
Author_Institution :
Defence R&D Canada - Ottawa, Ottawa, ON, Canada
Abstract :
The detectability of crashed aircraft in RADARSAT-2 Ultra-Fine mode imagery of the Canadian North using automatic target detection algorithms has been examined. Optimization of algorithm parameters has been shown to decrease the number of false targets (those not of interest) which are detected. The use of multiple images can provide refinement in determination of potential target locations to Search and Rescue personnel.
Keywords :
object detection; optimisation; synthetic aperture radar; Canadian North; RADARSAT-2 ultrafine mode imagery; aircraft; automatic target detection algorithms; optimization; synthetic aperture radar; Aircraft; Algorithm design and analysis; Computer crashes; Object detection; Optical imaging; Synthetic aperture radar; Analysts´ Detection Support System; Northern Canada; RADARSAT-2; SAR; Search and Rescue; Synthetic Aperture Radar; automatic target detection;
Conference_Titel :
Radar Symposium (IRS), 2012 13th International
Conference_Location :
Warsaw
Print_ISBN :
978-1-4577-1838-0
DOI :
10.1109/IRS.2012.6233360
