Comparison and Evaluation of Ship Detection and Identification Algorithms Using Small Boats and ALOS-PALSAR
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概要
- 論文の詳細を見る
The final goal of the present project is to develop a ship detection and identification system by integrating spaceborne synthetic aperture radar (SAR), ground-based maritime radar and automatic identification system (AIS); and this article presents the results of the first phase experiments and current status toward achieving this goal. The data acquired by the Phased Array L-band SAR (PALSAR) on board of the Advanced Land Observing Satellite (ALOS) were used as SAR data, and X-band maritime radar including AIS were used as a ground-based system. The work is divided into two experimental phases. The first phase is to examine the ability of PALSAR to detect ships whose sizes are comparable with the SAR resolution cells, and the second is to incorporate the PALSAR data with those acquired by the ground-based radar with AIS. For the experiments in the first phase, we deployed three small fishing boats whose lengths ranged from approximately 8 m to 15m in the Tosa Bay in Kochi, Japan in 2006. The experiments were carried out for four observation PALSAR modes: FBS (Fine Beam Single) 34.3, FBS 21.5, FBD (Fine Beam Double) 41.5, and PLR (PoLaRimetric) 20.5, where the numbers in each modes represent the off-nadir angles. For extracting the boats from the PALSAR images, five algorithms were considered, including amplitude-based, CFAR (Constant False Alarm Rate), MLCC (Multi-Look Cross-Correlation), CCF (Cross-Correlation Function) of HH- and HV-polarization amplitudes, and polarimetric analyses. This paper summarizes the results of the first phase experiments; the summary of the integrated system in the second phase will be reported in the near future.
- （社）電子情報通信学会の論文
- 2009-12-01
著者
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Ouchi Kazuo
Department Of Computer Science National Defense Academy
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Hwang Seong-in
Department Of Computer Science School Of Electrical And Computer Engineering National Defense Academ
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Hwang Seong-in
Department Of Computer Science National Defense Academy
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WANG Haipeng
Key Laboratory of Wave Scattering and Remote Sensing, Department of Communication Science and Engine
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Wang Haipeng
Fudan Univ. Shanghai Chn
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Wang Haipeng
Key Laboratory Of Wave Scattering And Remote Sensing Department Of Communication Science And Enginee
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Ouchi Kazuo
Department of Computer Science, National Defense Academy
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