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
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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 |
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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 |
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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 |
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WEP.PI.4: SAR-BASED SHIP ROUTE ESTIMATION BY WAKE COMPONENTS DETECTION AND CLASSIFICATION |
Maria Daniela Graziano; University of Naples |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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) |
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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 |
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