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Proceedings Paper

Comparison between MDA and two edge detectors for SAR image analysis
Author(s): Carlo S. Regazzoni
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Paper Abstract

A comparison is performed among three edge detectors operating on Synthetic Aperture Radar (SAR) images: Canny filter, Ratio detector and Multilevel Deterministic Annealing with a speckle noise model. The first method represents classical edge extractors, based on a regularised estimation of the derivatives of the image function. The Ratio Detector is an example of a Constant False Alarm Rate methods used for edge detection in speckle-noise, which rely on a detection criterion independent from the average gray-level of the decision region. The method defined Multilevel Deterministic Annealing is based on a non-linear statistical criterion which takes into account not only local properties of the image function, but also its global characteristics. The three detectors are evaluated on the basis of false-alarm and detection errors computed on the basis of the apriori known output of a synthetic scene. A qualitative evaluation on real images is also provided. It is shown that Multilevel Deterministic Annealing provides better results despite of a higher computational load.

Paper Details

Date Published: 30 December 1994
PDF: 12 pages
Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); doi: 10.1117/12.196758
Show Author Affiliations
Carlo S. Regazzoni, Univ. of Genoa (Italy)


Published in SPIE Proceedings Vol. 2315:
Image and Signal Processing for Remote Sensing
Jacky Desachy, Editor(s)

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