DocumentCode
1898287
Title
A region based target detection method for SAR images
Author
Nar, Fatih ; Demirkesen, Can ; Okman, Osman Erman ; Çetin, Müjdat
Author_Institution
Uzay ve Savunma Teknolojileri (SDT), Ankara, Turkey
fYear
2011
fDate
20-22 April 2011
Firstpage
809
Lastpage
812
Abstract
Automatic target detection methods for synthetic aperture radar (SAR) images are sensitive to image resolution, size of the target to be detected, clutter complexity, and speckle noise level. A robust automatic target detection method needs to be less sensitive to the above factors. In this study, a constant false alarm rate (CFAR) based automatic target detection method which can find a target and its heterogeneous clutter independent of the image resolution and the target size has been developed. The proposed method provides efficient memory usage and low computational complexity.
Keywords
computational complexity; image resolution; object detection; radar clutter; radar imaging; synthetic aperture radar; CFAR; SAR images; automatic target detection methods; clutter complexity; computational complexity; constant false alarm rate; heterogeneous clutter; image resolution; region-based target detection method; speckle noise level; synthetic aperture radar images; Clutter; Conferences; Object detection; Radar imaging; Signal processing; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Conference_Location
Antalya
Print_ISBN
978-1-4577-0462-8
Electronic_ISBN
978-1-4577-0461-1
Type
conf
DOI
10.1109/SIU.2011.5929774
Filename
5929774
Link To Document