Harbor Detection Method of SAR Remote Sensing Images Based on Feature

Chen  Qi; Lu  Jun; Zhao  Ling-Jun; Kuang  Gang-Yao

doi:10.3724/SP.J.1146.2010.00079

Volume 32 Issue 12

Jan. 2011

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Chen Qi, Lu Jun, Zhao Ling-Jun, Kuang Gang-Yao. Harbor Detection Method of SAR Remote Sensing Images Based on Feature[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2873-2878. doi: 10.3724/SP.J.1146.2010.00079

Citation:

Chen Qi, Lu Jun, Zhao Ling-Jun, Kuang Gang-Yao. Harbor Detection Method of SAR Remote Sensing Images Based on Feature[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2873-2878. doi: 10.3724/SP.J.1146.2010.00079

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Harbor Detection Method of SAR Remote Sensing Images Based on Feature

doi: 10.3724/SP.J.1146.2010.00079

Received Date: 2010-01-22
Rev Recd Date: 2010-06-15
Publish Date: 2010-12-19

Abstract

Abstract

Harbor detection is an important aspect for remote sensing ocean application research. Fast and accurate harbor detection can greatly improve the ability of automatic interpretation for remote sensing image. By having a detailed research on harbor object disposal, this paper establishes harbor feature model, and proposes a harbor detection method of remote sensing images based on feature. First, extraction and discrimination of harbor jetty are performed in the instruction of geometric features and topologic features belonging to harbor. Then, the jetty key points are selected and the coastline closure between key points is calculated according to the contextual and geometric features of harbor. Finally, harbor detection is finished in the guidance of closure principle. Compared with an existing harbor detection algorithm, the experiments show that novel method has a whole harbor detection, high detection ratio and fast operation.
- Remote sensing image processing,
- Harbor detection,
- Feature model,
- Closure principle

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References(1)

References

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