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
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;
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
DOI :
10.1109/SIU.2011.5929774