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Proceedings Paper

Automatic and semi-automatic extraction of curvilinear features from SAR images
Author(s): Emre Akyilmaz; O. Erman Okman; Fatih Nar; Müjdat Cetin
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Paper Abstract

Extraction of curvilinear features from synthetic aperture radar (SAR) images is important for automatic recognition of various targets, such as fences, surrounding the buildings. The bright pixels which constitute curvilinear features in SAR images are usually disrupted and also degraded by high amount of speckle noise which makes extraction of such curvilinear features very difficult. In this paper an approach for the extraction of curvilinear features from SAR images is presented. The proposed approach is based on searching the curvilinear features as an optimum unidirectional path crossing over the vertices of the features determined after a despeckling operation. The proposed method can be used in a semi-automatic mode if the user supplies the starting vertex or in an automatic mode otherwise. In the semi-automatic mode, the proposed method produces reasonably accurate real-time solutions for SAR images.

Paper Details

Date Published: 21 November 2012
PDF: 12 pages
Proc. SPIE 8536, SAR Image Analysis, Modeling, and Techniques XII, 853617 (21 November 2012); doi: 10.1117/12.975935
Show Author Affiliations
Emre Akyilmaz, SDT A.S. (Turkey)
O. Erman Okman, SDT A.S. (Turkey)
Fatih Nar, SDT A.S. (Turkey)
Müjdat Cetin, Sabanci Univ. (Turkey)


Published in SPIE Proceedings Vol. 8536:
SAR Image Analysis, Modeling, and Techniques XII
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca, Editor(s)

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