Automatic and semi-automatic extraction of curvilinear features from SAR images

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Akyılmaz, Emre and Okman, O. Erman and Nar, Fatih and Çetin, Müjdat (2012) Automatic and semi-automatic extraction of curvilinear features from SAR images. In: SPIE Security + Defence Symposium, Edinburgh, Scotland, United Kingdom

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Official URL: http://dx.doi.org/10.1117/12.975935


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.

Item Type:Papers in Conference Proceedings
Additional Information:Article Number: 853617
Uncontrolled Keywords:SAR, curvilinear feature, curvilinear structure, edge detection, Dijkstra's algorithm, graph search
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:20911
Deposited By:Müjdat Çetin
Deposited On:02 Dec 2012 15:02
Last Modified:31 Jul 2019 16:13

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