A Feature-based Ship Detection Method for Compact Polarization SAR Image

Konferenz: EUSAR 2016 - 11th European Conference on Synthetic Aperture Radar
06.06.2016 - 09.06.2016 in Hamburg, Germany

Tagungsband: EUSAR 2016

Seiten: 4Sprache: EnglischTyp: PDF

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Xu, Lu; Zhang, Hong; Wang, Chao; Zhang, Bo (Key Laboratory of Digital Earth Science, Institute of Remote Sensing an Digital Earth, CAS, China)

Compact polarimetric SAR (CP SAR) has triggered great consens in ocean maritime monitoring recently for containing abundant scattering information and the wide swath. In this paper, we propose a new feature-based method for ship detection using CP SAR. Four scattering parameters are combined to form a feature vector after a detection performance assessment: degree of polarization, entropy, scattering angle and the miner component of coherence matrix. Dual circular polarimetric (DCP) data simulated by Radarsat-2 Fine Quad mode images are utilized in this research. Compared with CFAR results of quad-polarimetric PWF, HH, span of DCP data and double-bounce component of m-chi decomposition, the new feature shows great capability in detecting very weak targets meanwhile reducing false alarms.