My IGARSS 2015 Schedule

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WEP.PI: Applications in SAR and Radar Remote Sensing

Session Type: Poster
Time: Wednesday, July 29, 17:20 - 19:00
Location: Poster Area I
Session Chairs: Simonetta Paloscia, IFAC-CNR and Fabio Fascetti, Sapienza Univ. of Rome
 
  WEP.PI.1: AUTOMATIC TARGET RECOGNITION METHOD BASED ON POLSAR IMAGES WITH CIRCULAR POLARIMETRIC BASIS CONVERSION
         Shouhei Ohno; NEC Corp.
         Shouhei Kidera; The University of Electro-Communications
         Tetsuo Kirimoto; The University of Electro-Communications
 
  WEP.PI.2: MOVING TARGETS DETECTION AND PARAMETERS ESTIMATION FOR DUAL-CHANNEL WAS RADAR
         Mingjie Zheng; Institute of Electronics, Chinese Academy of Sciences
         Lili Hou; Institute of Electronics, Chinese Academy of Sciences
         Li-Juan Qi; Institute of Electronics, Chinese Academy of Sciences
         Robert Wang; Institute of Electronics, Chinese Academy of Sciences
 
  WEP.PI.3: CONCEPT AND PERFORMANCE ANALYSIS OF MELISSA MIMO GMTI
         Giovanni Marino; Joint Research Centre
         Dario Tarchi; Joint Research Centre
         Vladimir Kyovtorov; Joint Research Centre
         Jorge Figueiredo-Morgado; JRC
         Pier Francesco Sammartino; JRC
 
  WEP.PI.4: SAR-BASED SHIP ROUTE ESTIMATION BY WAKE COMPONENTS DETECTION AND CLASSIFICATION
         Maria Daniela Graziano; University of Naples
 
  WEP.PI.5: SPARSE MAXIMUM A POSTERIOR ALGORITHM FOR HIGH ANGULAR RESOLUTION OF SCANNING RADAR
         Yin Zhang; University of Electronic Science and Technology of China
         Yulin Huang; University of Electronic Science and Technology of China
         Yuebo Zha; University of Electronic Science and Technology of China
         Jianyu Yang; University of Electronic Science and Technology of China
 
  WEP.PI.6: AN APPROACH FOR SHADOW ENHANCEMENT ABOUT TALL AND NARROW TARGETS IN SAR IMAGES
         Yueting Zhang; Institute of Electronics, Chinese Academy of Sciences
         Fang-Fang Li; Institute of Electronics, Chinese Academy of Sciences
         Qi Liu; Institute of Electronics, Chinese Academy of Sciences
         Chi-Biao Ding; Institute of Electronics, Chinese Academy of Sciences
         Xiaolan Qiu; Institute of Electronics, Chinese Academy of Sciences
 
  WEP.PI.7: OIL SLICK DETECTABILITY ALONG THE RANGE OF LARGE SWATH SAR IMAGES
         Marco Cavagnero; Università del Piemonte Orientale
         Walter Biamino; Università del Piemonte Orientale
         Maria Borasi; Università del Piemonte Orientale
         Lorenza Di Matteo; Università del Piemonte Orientale
         Paolo Trivero; Università del Piemonte Orientale
 
  WEP.PI.8: A NOVEL APPROACH TO BUILDING COLLAPSE DETECTION FROM POST-SEISMIC POLARIMETRIC SAR IMAGERY BY USING OPTIMIZATION OF POLARIMETRIC CONTRAST ENHANCEMENT
         Haizhen Zhang; Peking University
         Qing Wang; Peking University
         Qiming Zeng; Peking University
         Jian Jiao; Peking University
 
  WEP.PI.9: AUTOMATIC TARGET RECOGNITION IN SAR IMAGERY USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION CASCADED WITH VIRTUAL TRAINING DATA GENERATION CSOM-BASED CLASSIFIER
         Victor-Emil Neagoe; Politehnica University of Bucharest
         Serban-Vasile Carata; Politehnica University of Bucharest
         Adrian-Dumitru Ciotec; Politehnica University of Bucharest
 
  WEP.PI.10: TRANSFORMATION AND TEXTURE BASED FEATURES IN TERRASAR-X DATA CLASSIFICATION FOR ENVIRONMENTAL MONITORING
         Teemu Kumpumäki; Tampere University of Technology
         Tarmo Lipping; Tampere University of Technology
 
  WEP.PI.11: COMPARISON OF SENTINEL-1 AND TERRASAR-X FOR SHIP DETECTION
         Domenico Velotto; German Aerospace Center (DLR)
         Carlos Bentes; German Aerospace Center (DLR)
         Björn Tings; German Aerospace Center (DLR)
         Susanne Lehner; German Aerospace Center (DLR)
 
  WEP.PI.12: AN EFFICIENT USE OF RANDOM FOREST TECHNIQUE FOR SAR DATA CLASSIFICATION
         Shruti Gupta; Indian Institute of Technology Roorkee
         Dharmendra Singh; Indian Institute of Technology Roorkee
         Keshava P Singh; Indian Institute of Technology, BHU
         Sandeep Kumar; Indian Institute of Technology Roorkee