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Linear feature detection in polarimetric SAR images
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Zhou, Guangyi, Cui, Yi, Chen, Yilun, Yang, Jian, Rashvand, Habib F. and Yamaguchi, Yoshio (2011) Linear feature detection in polarimetric SAR images. IEEE Transactions on Geoscience and Remote Sensing, Volume 49 (Number 4). pp. 1453-1463. doi:10.1109/TGRS.2010.2081373
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Official URL: http://dx.doi.org/10.1109/TGRS.2010.2081373
Abstract
Recently, the use of linear features for processing remote-sensing images has shown its importance in applications. Unfortunately, traditional linear feature detection methods rely heavily on the image's local information which makes them vulnerable to the presence of noise in the image. This problem becomes particularly difficult for synthetic aperture radar (SAR) image applications where SAR images are corrupted by speckle noise. In order to overcome this problem, we propose a novel method that processes the polarimetric synthetic aperture radar (Pol-SAR) images by combining the multiscale image analysis with polarimetric information in a new fashion. A two-scale approach is adopted here. On a coarse level, the coarse regions of the linear features are extracted by a curvelet transform from a speckle noise reduced image obtained by the polarimetric whitening filter. On a fine level, we develop a fuzzy polarimetric detector to accurately locate the linear features inside the regions. The effectiveness of the proposed method is demonstrated using simulated Pol-SAR data acquired from both EMISAR and Convair-580 systems.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
| Library of Congress Subject Headings (LCSH): | Image processing, Synthetic aperture radar | ||||
| Journal or Publication Title: | IEEE Transactions on Geoscience and Remote Sensing | ||||
| Publisher: | IEEE | ||||
| ISSN: | 0196-2892 | ||||
| Official Date: | April 2011 | ||||
| Dates: |
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| Volume: | Volume 49 | ||||
| Number: | Number 4 | ||||
| Page Range: | pp. 1453-1463 | ||||
| DOI: | 10.1109/TGRS.2010.2081373 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Funder: | Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC) | ||||
| Grant number: | 40871157 (NSFC) |
Data sourced from Thomson Reuters' Web of Knowledge
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