DocumentCode :
397666
Title :
Small target detection using enhanced SAR images
Author :
Zhang, Jingxin ; Schroeder, Jim ; Redding, Nicholas J.
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
Volume :
1
fYear :
2003
fDate :
5-8 Oct. 2003
Firstpage :
1001
Abstract :
This paper investigates the impact of SAR image enhancement on the performance of small target detection in SAR images. Three SAR image enhancement algorithms are evaluated on large SAR image data-sets. The evaluation results show that image enhancement can greatly improve the performance of false alarm mitigation, and that the level of performance improvement is correlated with the resolution and background suppression of the enhanced images. The higher the resolution and the level of background suppression, the higher the level of performance improvement.
Keywords :
image enhancement; image resolution; radar imaging; radar resolution; radar target recognition; synthetic aperture radar; SAR images; background suppression; false alarm mitigation; image data sets; image enhancement algorithms; resolution; small target detection; synthetic aperture radar images; History; Image enhancement; Image generation; Image resolution; Layout; Object detection; Signal resolution; Speckle; Synthetic aperture radar; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7952-7
Type :
conf
DOI :
10.1109/ICSMC.2003.1243945
Filename :
1243945
Link To Document :
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