A Novel SAR Image Segmentation Method Using Run-Length Grouping

HU Lei; JI Yan; HOU Pengyang; LI Bo

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Article Navigation > Chinese Journal of Electronics > 2013 > 22(2): 396-400

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,

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,

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A Novel SAR Image Segmentation Method Using Run-Length Grouping

HU Lei^1,3,
JI Yan^1,2,
HOU Pengyang¹,
LI Bo¹

1.
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China;
2.
Beijing Remote Sensing Institute, Beijing 100085, China;
3.
School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China

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

Abstract

Abstract

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.
- Synthetic aperture radar (SAR) image,
- Image segmentation,
- Run-length grouping

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References(13)

References

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