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Synthetic aperture radar river image segmentation using improved localizing region-based active contour model

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Abstract

Adaptive localizing region-based active contour model driven by Laplacian kernel-based fitting energy is proposed for improving the efficiency and accuracy of synthetic aperture radar (SAR) river image segmentation in the paper. Defining regional energy functional that depends on the Laplacian kernel distance which is robust and non-Euclidean, Laplacian kernel distance is nonlinear transformation, whose transformed space can be linear classification. Additionally, providing the novel calculation for fitting center which relies on the local and global gray value, furthermore, the adaptive selection function of local radius is made. By using both of them, the proposed model can improve the accuracy of the fitting center and local region; afterward, the evolution of the curve can achieve the global optimal and be controlled better. Finally, in order to speed up the computation of proposed model, the localized region surrounded by adjacent four pixel points on the evolution curve can be replaced by the localized region of the intermediate pixel. The proposed model has been successfully applied to river channel extraction from synthetic aperture radar (SAR) images with desirable results. Comparisons with other state-of-the-art approaches demonstrate the great performances of the model.

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Acknowledgements

This work is partially supported by National Natural Science Foundation of China under Grant No. 61573183; Key Laboratory of Port, Waterway and Sedimentation Engineering of the Ministry of Transport.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Jiang Jun Road No. 29, Nanjing, 211106, China

    Kang Ni & Yiquan Wu

  2. Key Laboratory of Port Waterway and Sedimentation Engineering of the Ministry of Transport, Nanjing Hydraulic Research Institute, Guangzhou Street No. 223, Nanjing, 210029, China

    Yiquan Wu

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  1. Kang Ni
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  2. Yiquan Wu
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Correspondence to Yiquan Wu.

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Ni, K., Wu, Y. Synthetic aperture radar river image segmentation using improved localizing region-based active contour model. Pattern Anal Applic 22, 731–746 (2019). https://doi.org/10.1007/s10044-018-0683-6

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