HU Lei, JI Yan, HOU Pengyang, et al., “A Novel SAR Image Segmentation Method Using Run-Length Grouping,” Chinese Journal of Electronics, vol. 22, no. 2, pp. 396-400, 2013,
Citation: HU Lei, JI Yan, HOU Pengyang, et al., “A Novel SAR Image Segmentation Method Using Run-Length Grouping,” Chinese Journal of Electronics, vol. 22, no. 2, pp. 396-400, 2013,

A Novel SAR Image Segmentation Method Using Run-Length Grouping

Funds:  This work is partially supported by the National Natural Science Foundation of China (No.61262036), the National Basic Research Program of China (973 Program) (No.2010CB327900) and the National Science Fund for Distinguished Young Scholars (No.61125206).
  • Received Date: 2012-05-01
  • Rev Recd Date: 2012-05-01
  • Publish Date: 2013-04-25
  • Synthetic aperture radar (SAR) image segmentation is the basis of SAR image analysis and understanding. A segmentation method based on the neighbor and near spatial relationship is proposed to reduce the speckle noises influence and improve the segmentation region regularity. The SAR image is coarsely segmented by the scatter intensity of neighbor pixels. For the unregularity of region in coarse segmentation, a region regularity method based on Run-length grouping (RLG) is proposed. The region regularity method adjusts the short run-length segmentation type with the spatial relationship of near pixels. The segmentation region can be more regularity by connecting the broken region, smoothing the tortuous edge and removing patch.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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