Ship Contour Extraction from Polarimetric SAR Images Based on Polarization Modulation
Ship contour extraction is vital for extracting the geometric features of ships, providing comprehensive information essential for ship recognition. The main factors affecting the contour extraction performance are speckle noise and amplitude inhomogeneity, which can lead to over-segmentation and mi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/19/3669 |
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| author | Guoqing Wu Shengbin Luo Wang Yibin Liu Ping Wang Yongzhen Li |
| author_facet | Guoqing Wu Shengbin Luo Wang Yibin Liu Ping Wang Yongzhen Li |
| author_sort | Guoqing Wu |
| collection | DOAJ |
| description | Ship contour extraction is vital for extracting the geometric features of ships, providing comprehensive information essential for ship recognition. The main factors affecting the contour extraction performance are speckle noise and amplitude inhomogeneity, which can lead to over-segmentation and missed detection of ship edges. Polarimetric synthetic aperture radar (PolSAR) images contain rich target scattering information. Under different transmitting and receiving polarization, the amplitude and phase of pixels can be different, which provides the potential to meet the uniform requirement. This paper proposes a novel ship contour extraction framework from PolSAR images based on polarization modulation. Firstly, the image is partitioned into the foreground and background using a super-pixel unsupervised clustering approach. Subsequently, an optimization criterion for target amplitude modulation to achieve uniformity is designed. Finally, the ship’s contour is extracted from the optimized image using an edge-detection operator and an adaptive edge extraction algorithm. Based on the contour, the geometric features of ships are extracted. Moreover, a PolSAR ship contour extraction dataset is established using Gaofen-3 PolSAR images, combined with expert knowledge and automatic identification system (AIS) data. With this dataset, we compare the accuracy of contour extraction and geometric features with state-of-the-art methods. The average errors of extracted length and width are reduced to 20.09 m and 8.96 m. The results demonstrate that the proposed method performs well in both accuracy and precision. |
| format | Article |
| id | doaj-art-29c22613b3604bfdafa0ef2bfadb1fbc |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-29c22613b3604bfdafa0ef2bfadb1fbc2025-08-20T01:47:36ZengMDPI AGRemote Sensing2072-42922024-10-011619366910.3390/rs16193669Ship Contour Extraction from Polarimetric SAR Images Based on Polarization ModulationGuoqing Wu0Shengbin Luo Wang1Yibin Liu2Ping Wang3Yongzhen Li4College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaShip contour extraction is vital for extracting the geometric features of ships, providing comprehensive information essential for ship recognition. The main factors affecting the contour extraction performance are speckle noise and amplitude inhomogeneity, which can lead to over-segmentation and missed detection of ship edges. Polarimetric synthetic aperture radar (PolSAR) images contain rich target scattering information. Under different transmitting and receiving polarization, the amplitude and phase of pixels can be different, which provides the potential to meet the uniform requirement. This paper proposes a novel ship contour extraction framework from PolSAR images based on polarization modulation. Firstly, the image is partitioned into the foreground and background using a super-pixel unsupervised clustering approach. Subsequently, an optimization criterion for target amplitude modulation to achieve uniformity is designed. Finally, the ship’s contour is extracted from the optimized image using an edge-detection operator and an adaptive edge extraction algorithm. Based on the contour, the geometric features of ships are extracted. Moreover, a PolSAR ship contour extraction dataset is established using Gaofen-3 PolSAR images, combined with expert knowledge and automatic identification system (AIS) data. With this dataset, we compare the accuracy of contour extraction and geometric features with state-of-the-art methods. The average errors of extracted length and width are reduced to 20.09 m and 8.96 m. The results demonstrate that the proposed method performs well in both accuracy and precision.https://www.mdpi.com/2072-4292/16/19/3669PolSARship contour extractionpolarization modulationedge detection |
| spellingShingle | Guoqing Wu Shengbin Luo Wang Yibin Liu Ping Wang Yongzhen Li Ship Contour Extraction from Polarimetric SAR Images Based on Polarization Modulation Remote Sensing PolSAR ship contour extraction polarization modulation edge detection |
| title | Ship Contour Extraction from Polarimetric SAR Images Based on Polarization Modulation |
| title_full | Ship Contour Extraction from Polarimetric SAR Images Based on Polarization Modulation |
| title_fullStr | Ship Contour Extraction from Polarimetric SAR Images Based on Polarization Modulation |
| title_full_unstemmed | Ship Contour Extraction from Polarimetric SAR Images Based on Polarization Modulation |
| title_short | Ship Contour Extraction from Polarimetric SAR Images Based on Polarization Modulation |
| title_sort | ship contour extraction from polarimetric sar images based on polarization modulation |
| topic | PolSAR ship contour extraction polarization modulation edge detection |
| url | https://www.mdpi.com/2072-4292/16/19/3669 |
| work_keys_str_mv | AT guoqingwu shipcontourextractionfrompolarimetricsarimagesbasedonpolarizationmodulation AT shengbinluowang shipcontourextractionfrompolarimetricsarimagesbasedonpolarizationmodulation AT yibinliu shipcontourextractionfrompolarimetricsarimagesbasedonpolarizationmodulation AT pingwang shipcontourextractionfrompolarimetricsarimagesbasedonpolarizationmodulation AT yongzhenli shipcontourextractionfrompolarimetricsarimagesbasedonpolarizationmodulation |