Volume 10 Issue 1
Feb.  2021
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Article Navigation >  Journal of Radars  > 2021  >  10(1): 20-34
Chen Wei, Wan Xian-rong, Zhang Xun, Rao Yun-hua, Cheng Feng. Parallel Implementation of Multi-channel Time Domain Clutter Suppression Algorithm for Passive Radar[J]. Journal of Radars, 2014, 3(6): 686-693. doi: 10.12000/JR14157
Citation: ZOU Huanxin, LI Meilin, CAO Xu, et al. Superpixel segmentation for PolSAR images based on geodesic distance[J]. Journal of Radars, 2021, 10(1): 20–34. doi: 10.12000/JR20121
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Superpixel Segmentation for PolSAR Images Based on Geodesic Distance

DOI: 10.12000/JR20121
  • 1.

    College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

  • 2.

    School of Information and Navigation, Air Force Engineering University, Xi’an 710077, China

Funds:  The National Natural Science Foundation of China (62071474, 41601436)
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  • Corresponding author: ZOU Huanxin, hxzou2008@163.com
  • Received Date: 2020-08-31
  • Rev Recd Date: 2020-11-20
    • Available Online: 2020-12-03
  • Publish Date: 2021-02-25
    Abstract
  • Considering the lack of similarity capabilities of the distance metric used in the traditional Polarimetric Synthetic Aperture Radar (PolSAR) image superpixel segmentation algorithm, a novel PolSAR image superpixel segmentation algorithm based on geodesic distance is proposed in this paper. First, the PolSAR image is initialized as a hexagonal distribution, and all pixels are initialized as unstable pixels. Thereafter, the geodesic distance between two real symmetric Kennaugh matrices is used to measure the similarity between the current unstable point and another cluster point in the search region to more accurately assign labels to unstable points, thereby effectively reducing the number of unstable points. Finally, the postprocessing procedure is used to remove small, isolated regions and generate the final superpixels. To verify the effectiveness of the initialization method and the high efficiency of the geodesic distance, extensive experiments are conducted using simulated PolSAR images. Moreover, the proposed algorithm is analyzed and compared with four other algorithms using simulated and real-world images. Experimental results show that the superpixels generated using the proposed method exhibit higher computational efficiency and a more regular shape that can more accurately fit the edges of real objects compared with those using the four other algorithms.

     

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    • References(28)
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