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Remote Sens. 2017, 9(3), 209; doi:10.3390/rs9030209

SAR-PC: Edge Detection in SAR Images via an Advanced Phase Congruency Model

1
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
2
University of Chinese Academy of Sciences, Beijing 100000, China
*
Author to whom correspondence should be addressed.
Academic Editors: Gonzalo Pajares Martinsanz and Prasad S. Thenkabail
Received: 19 December 2016 / Revised: 23 February 2017 / Accepted: 23 February 2017 / Published: 25 February 2017

Abstract

Edge detection in Synthetic Aperture Radar (SAR) images has been a challenging task due to the speckle noise. Ratio-based edge detectors are robust operators for SAR images that provide constant false alarm rates, but they are only optimal for step edges. Edge detectors developed by the phase congruency model provide the identification of different types of edge features, but they suffer from speckle noise. By combining the advantages of the two edge detectors, we propose a SAR phase congruency detector (SAR-PC). Firstly, an improved local energy model for SAR images is obtained by replacing the convolution of raw image and the quadrature filters by the ratio responses. Secondly, a new noise level is estimated for the multiplicative noise. Substituting the SAR local energy and the new noise level into the phase congruency model, SAR-PC is derived. Edge response corresponds to the max moment of SAR-PC. We compare the proposed detector with the ratio-based edge detectors and the phase congruency edge detectors. Receiver Operating Characteristic (ROC) curves and visual effects are used to evaluate the performance. Experimental results of simulated images and real-world images show that the proposed edge detector is robust to speckle noise and it provides a consecutive edge response. View Full-Text
Keywords: SAR; edge detection; phase congruency; local energy; ratio-based edge detectors SAR; edge detection; phase congruency; local energy; ratio-based edge detectors
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Xiang, Y.; Wang, F.; Wan, L.; You, H. SAR-PC: Edge Detection in SAR Images via an Advanced Phase Congruency Model. Remote Sens. 2017, 9, 209.

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