SAR image segmentation by morphological methods

Cedric Lemarechal; Roger Fjortoft; Philippe Marthon; Eliane Cubero-Castan; Armand Lopes

doi:10.1117/12.331343

20 November 1998 SAR image segmentation by morphological methods

Cedric Lemarechal, Roger Fjortoft, Philippe Marthon, Eliane Cubero-Castan, Armand Lopes

Proceedings Volume 3497, SAR Image Analysis, Modeling, and Techniques; (1998) https://doi.org/10.1117/12.331343
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

The presence of speckle, which may be modeled as a strong multiplicative noise, makes the segmentation of synthetic aperture radar (SAR) images very difficult. The usual gradient operators yield poor results, but robust operators have been developed specifically for this kind of images. From the edge strength map ('gradient image') created by such an operator, closed skeleton boundaries running through local maxima must be extracted. This can be achieved with the watershed algorithm. However, to reduce the number of false edges, the algorithm must be made less sensitive to speckle. In this article, we compare two different approaches -- watershed thresholding and basin dynamics -- and propose a new algorithm for the computation of edge dynamics. The improvement brought by basin and edge dynamics is illustrated on ERS-1 images of an agricultural zone.

Citation Download Citation

Cedric Lemarechal, Roger Fjortoft, Philippe Marthon, Eliane Cubero-Castan, and Armand Lopes "SAR image segmentation by morphological methods", Proc. SPIE 3497, SAR Image Analysis, Modeling, and Techniques, (20 November 1998); https://doi.org/10.1117/12.331343

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