| Presentation | 2017-11-23 [Special Talk] SAR Image Segmentation Based Framework to Ship Detection Yang-Lang Chang, Amare Anagaw Ayele, Lena Chang, Wei-Lin Chen, Meng-Che Wu, Chihyuan Chu, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Synthetic aperture radar (SAR) imagery has proven to be a promising data source for the surveillance of maritime activities, and its application for ship detection has been the focus of many research studies. In this work, we focus on a hierarchical image morphology based approach to perform detection of ship from the given SAR image. The framework does not require any prior knowledge about ships and background observation. The proposed framework has the following four main stages: 1) preprocessing (image alignment, remove unnecessary region and segmentation), 2) sea and land separation, 3) ship detection with feature extraction, and 4) combination of ship information from different segmented image (mark the collected information on the original image). Experiments on real SAR images with varying sea clutter backgrounds and multiple targets situation have been conducted. The effectiveness of the proposed framework is verified using Sentinel-1 data and Terra SAR-X images. The performance analysis confirms that the proposed framework works efficiently in various circumstances with high detection rate of 94.72% in average. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | feature extraction / ship detection / overlapped based segmentation / hierarchical image segmentation-based framework |
| Paper # | SANE2017-63 |
| Date of Issue | 2017-11-16 (SANE) |
| Conference Information | |
| Committee | SANE |
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| Conference Date | 2017/11/23(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Malaysia (Borneo Island) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ICSANE2017 |
| Chair | Sonosuke Fukushima(ENRI) |
| Vice Chair | Toshifumi Moriyama(Nagasaki Univ.) / Akitsugu Nadai(NICT) |
| Secretary | Toshifumi Moriyama(Mitsubishi Electric) / Akitsugu Nadai(ENRI) |
| Assistant | Manabu Akita(Univ. of Electro-Comm.) / Ryo Natsuaki(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Space, Aeronautical and Navigational Electronics |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Special Talk] SAR Image Segmentation Based Framework to Ship Detection |
| Sub Title (in English) | |
| Keyword(1) | feature extraction |
| Keyword(2) | ship detection |
| Keyword(3) | overlapped based segmentation |
| Keyword(4) | hierarchical image segmentation-based framework |
| 1st Author's Name | Yang-Lang Chang |
| 1st Author's Affiliation | National Taipei University of Technology(NTUT) |
| 2nd Author's Name | Amare Anagaw Ayele |
| 2nd Author's Affiliation | National Taipei University of Technology(NTUT) |
| 3rd Author's Name | Lena Chang |
| 3rd Author's Affiliation | National Taiwan Ocean University(NTOU) |
| 4th Author's Name | Wei-Lin Chen |
| 4th Author's Affiliation | National Taiwan Ocean University(NTOU) |
| 5th Author's Name | Meng-Che Wu |
| 5th Author's Affiliation | National Space Organization(NSPO) |
| 6th Author's Name | Chihyuan Chu |
| 6th Author's Affiliation | National Taipei University of Technology(NTUT) |
| Date | 2017-11-23 |
| Paper # | SANE2017-63 |
| Volume (vol) | vol.117 |
| Number (no) | SANE-321 |
| Page | pp.pp.1-6(SANE), |
| #Pages | 6 |
| Date of Issue | 2017-11-16 (SANE) |