NDLI: Segmentation of SAR images by means of Gabor filters working at different spatial resolution

Content Provider	IEEE Xplore Digital Library
Author	Baraldi, A. Parmiggiani, F.
Copyright Year	1996
Description	Author affiliation: IMGA, CNR, Modena, Italy (Baraldi, A.; Parmiggiani, F.)
Abstract	The traditional approaches to contour detection in SAR images employ a priori models of the speckle. The authors propose to apply to SAR images a new contour detection algorithm which is intended to be data-independent, i.e., it does not exploit any domain specific knowledge about the contents of the scene. This new contour detector must feature some degree of biological plausibility in order to simulate the behavior of a human photo-interpreter who is able to segment at one glance images acquired by optical as well as by SAR sensors. This means that, in order to improve the performance of the contour detector, the authors are not exclusively restricted to the exploitation of SAR images, but they can apply the algorithm to a wide variety of test images which refer to well known physiological and psychophysical experiences. After the contour detection stage, they employ a second stage which extracts (closed) regions from non-connected binary contours, and a third stage which performs (conservative) region-merging. The third stage employs a neural network clustering algorithm whose input sequence consists of segment-based textural parameters. The statistical regularities detected by the network in the random input sequence are equivalent to categories of segments which can be successively used by a knowledge-based, domain dependent, hierarchical classification scheme. The proposed segmentation procedure is applied to SAR images depicting sea ice. The performance of the contour detection stage seems to encourage the development of a new category of biologically plausible algorithms to perform low-level visual tasks.
Starting Page	709
Ending Page	713
File Size	624267
Page Count	5
File Format	PDF
ISBN	0780330684
DOI	10.1109/IGARSS.1996.516450
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Gabor filters Biological system modeling Optical sensors Clustering algorithms Speckle Detection algorithms Layout Computer vision Humans
Content Type	Text
Resource Type	Article

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