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题名: A novel polarimetric interferometric SAR coherence parameter and its application in buildings detection
作者: Zhu, Feiya; Yunhua Zhang(张云华); Li, Dong
作者部门: 微波遥感部
会议名称: 2016 Progress In Electromagnetics Research Symposium, PIERS 2016
会议日期: August 8, 2016 - August 11, 2016
会议地点: Shanghai, China
会议录: 2016 Progress In Electromagnetics Research Symposium, PIERS 2016 - Proceedings
会议录出版者: Institute of Electrical and Electronics Engineers Inc.
出版日期: 2016
收录类别: EI
页码: 1730-1733
ISBN号: 9781509060931
英文摘要: Man-made buildings detection is important in land use supervision and land control applications. Generally, polarimetric synthetic aperture radar (PolSAR) data are processed to detect buildings well. But for some buildings which are not aligned with the radar track, these buildings are usually incorrectly recognized as forest, because the oriented buildings produce additional cross-polarization. Polarimetric interferometric SAR (PolINSAR) acquires two measurements with a spatial baseline or a temporal baseline. For the PolINSAR with a temporal baseline i.e., the repeat pass PolInSAR, the two polarimetric measurements are sensitive to targets' temporal variations during the time. The buildings, regardless of the orientations, have high coherence, while some natural targets have low coherence. A novel parameter is proposed here, which represents the mean PolINSAR coherence and can be utilized to distinguish between buildings and some natural targets. The parameter is based on the coherence optimization theory of Cloude and Papathanassiou, and is the mean of the three optimal coherences with three pseudo-probabilities. Based on this new parameter and the SPAN, a method to detect buildings is further proposed. The excellent performance of the proposed method on buildings extraction is demonstrated by processing German Aerospace Center (DLR) L-band E-SAR repeat pass PolINSAR data of Oberpfaffenhofen area. © 2016 IEEE.
语种: 英语
内容类型: 会议论文
URI标识: http://ir.nssc.ac.cn/handle/122/5694
Appears in Collections:微波遥感部_会议论文

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