Experimenting level set-based snakes for contour segmentation in radar imagery

Frederic Lesage; Langis Gagnon

doi:10.1117/12.390480

29 June 2000 Experimenting level set-based snakes for contour segmentation in radar imagery

Frederic Lesage, Langis Gagnon

Proceedings Volume 4041, Visual Information Processing IX; (2000) https://doi.org/10.1117/12.390480
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The aim of this work is to explore the applicability of a relatively new snakes formulation called geometric snakes, for robust contour segmentation in radar images. In particular, we are looking for clear experimental indicators regarding the usefulness of such tool for radar imagery. In this work, we mainly concentrate on various contour segmentation problems in airborne and spaceborne SAR images (swatch and inverse mode). As an example, we study the segmentation of coastlines and ship targets. We observe that the dynamical and adaptive properties of geometric contours is better suited to determine the morphological properties of the contours. For high-resolution radar images of ships, the underlying motivation is that these properties could help providing robust extraction of ship structures for automatic ship classification.

Citation Download Citation

Frederic Lesage and Langis Gagnon "Experimenting level set-based snakes for contour segmentation in radar imagery", Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); https://doi.org/10.1117/12.390480

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