Title :
CFAR detection of extended objects in high resolution SAR images
Author :
Bisceglie, M. Di ; Galdi, C.
Author_Institution :
Facolta di Ingegneria, Universita degli Studi del Sannio, Benevento, Italy
Abstract :
Presents a processing scheme for the constant false alarm rate (CFAR) detection of extended objects embedded in non-Gaussian disturbance. The proposed receiver exploits some relevant properties of the location-scale distributions for ensuring constant false alarm against Weibull clutter. The system has been specifically conceived for operating on high-resolution SAR images where space processing (but not time processing) is allowed
Keywords :
radar clutter; radar theory; synthetic aperture radar; CFAR detection; Weibull clutter; constant false alarm rate detection; extended objects; high-resolution SAR images; land clutter; location-scale distributions; nonGaussian disturbance; radar detection theory; receiver; sea clutter; space processing; Adaptive systems; Artificial intelligence; Character generation; Image resolution; Object detection; Parameter estimation; Probability density function; Radar clutter; Radar detection; System testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.978126
