DocumentCode :
870578
Title :
Recent developments in detection, imaging and classification for airborne maritime surveillance
Author :
Bon, N. ; Hajduch, Guillaume ; Khenchaf, A. ; Garello, Rene ; Quellec, J.-M.
Author_Institution :
Thales Airborne Syst., Brest
Volume :
2
Issue :
3
fYear :
2008
fDate :
9/1/2008 12:00:00 AM
Firstpage :
192
Lastpage :
203
Abstract :
The role of maritime patrol missions is to monitor large oceanic areas. The authors focus on a complete signal-processing sequence from the primary detection of the targets to their classification or recognition from an airborne radar. Contrary to the classical approach in which detection, tracking, imaging and classification are considered separately, here the authors propose an integrated strategy based on a close cooperation among all of them. Recent developments in high range resolution target detection are presented and their integration in the complete system is discussed to limit false alarms. High-resolution ISAR imaging of ships is then tackled and associated with a feature extraction process and a support vector machine classifier. A set of real data is used to illustrate the imaging and classification results.
Keywords :
airborne radar; feature extraction; search radar; support vector machines; synthetic aperture radar; target tracking; airborne maritime surveillance classification; airborne maritime surveillance detection; airborne maritime surveillance imaging; airborne radar; feature extraction; high-resolution ISAR ship imaging; maritime patrol missions; oceanic area monitoring; signal-processing sequence; support vector machine classifier; target detection;
fLanguage :
English
Journal_Title :
Signal Processing, IET
Publisher :
iet
ISSN :
1751-9675
Type :
jour
DOI :
10.1049/iet-spr:20070082
Filename :
4630712
Link To Document :
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