DocumentCode
2534039
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
fYear
2012
fDate
23-25 May 2012
Firstpage
435
Lastpage
438
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Symposium (IRS), 2012 13th International
Conference_Location
Warsaw
ISSN
2155-5754
Print_ISBN
978-1-4577-1838-0
Type
conf
DOI
10.1109/IRS.2012.6233360
Filename
6233360
Link To Document