Title :
Non-Gaussian CFAR techniques for target detection in high resolution SAR images
Author :
Kuttikkad, Shyam ; Chellappa, Rama
Author_Institution :
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
Abstract :
Constant False Alarm Rate (CFAR) processing of Synthetic Aperture Radar (SAR) images facilitates target detection in spatially varying background clutter. The traditional Rayleigh distribution does not appear to be a good choice for modeling the natural terrain backscatter in high resolution SAR. We use the Weibull and K distributions to model clutter since they seem to fit observed data better and also include the Rayleigh distribution as a special case. The Cell Averaged CFAR technique works well in situations where a single, small target is present in locally homogeneous clutter. The Order Statistic CFAR is more useful for larger targets and in multiple target situations. Comparisons are made between the various CFAR techniques by applying them to real, high-resolution SAR images, obtained from the MIT Lincoln Laboratory
Keywords :
Weibull distribution; backscatter; image resolution; probability; radar clutter; radar detection; radar imaging; synthetic aperture radar; K distribution; MIT Lincoln Laboratory; Rayleigh distribution; Weibull distribution; cell averaged CFAR technique; constant false alarm rate; high resolution SAR images; natural terrain backscatter; non-Gaussian CFAR techniques; order statistic CFAR; spatially varying background clutter; target detection; Automation; Backscatter; Clutter; Detectors; Educational institutions; Image resolution; Object detection; Spatial resolution; Statistical distributions; Synthetic aperture radar;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413444