A statistical and geometrical edge detector for SAR images

A constant-false-alarm-rate (CFAR) edge detector based on the ratio between pixel values is described. The probability distribution of the image obtained by applying the edge detector is derived. Hence, the decision threshold can be theoretically determined for a given probability of false alarm as...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 1988-11, Vol.26 (6), p.764-773
Main Authors: Touzi, R., Lopes, A., Bousquet, P.
Format: Article
Language:English
Subjects:
Applied sciences
Backscatter
Detectors
Exact sciences and technology
Image edge detection
Image segmentation
Pixel
Probability distribution
Radar detection
Radar imaging
Radiolocalization and radionavigation
Speckle
Synthetic aperture radar
Telecommunications
Telecommunications and information theory
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Summary:A constant-false-alarm-rate (CFAR) edge detector based on the ratio between pixel values is described. The probability distribution of the image obtained by applying the edge detector is derived. Hence, the decision threshold can be theoretically determined for a given probability of false alarm as a function of the number of looks of the image under study and the size of the processing neighborhood. For a better and finer detection, the edge detector operates along the four usual directions over windows of increasing sizes. A test performed, for a given direction, on a radar image of an agricultural scene shows good agreement with the theoretical study. The operator is compared with the CFAR edge detectors suitable for radar images.< >
ISSN:0196-2892
1558-0644
DOI:10.1109/36.7708