MOP.N: Ship and Oil Spill Detection |
| Session Type: Poster |
| Time: Monday, July 14, 17:20 - 19:00 |
| Location: Poster Area N |
| Session Chairs: Waldo Kleynhans, Council of Scientific and Industrial Research and Jean-Pierre Ardouin, Defense R&D Canada |
| MOP.N.97: CFAR SHIP DETECTION WITH A NOTCH FILTER USING POLARIMETRIC SAR DATA |
| Armando Marino; ETH Zurich |
| Irena Hajnsek; ETH Zurich / German Aerospace Center (DLR) |
| MOP.N.98: SHIP DETECTION PERFORMANCE ASSESSMENT FOR SIMULATED RCM SAR DATA |
| Ghada Atteia; University of Calgary |
| Michael Collins; University of Calgary |
| MOP.N.99: SHIP DETECTION IN SOUTH AFRICAN OCEANS USING SAR, CFAR AND A HAAR-LIKE FEATURE CLASSIFIER |
| Colin Schwegmann; Council for Scientific and Industrial Research (CSIR) |
| Waldo Kleynhans; Council for Scientific and Industrial Research (CSIR) |
| Brian Salmon; Council for Scientific and Industrial Research (CSIR) |
| MOP.N.100: SIMULATED ANNEALING CFAR THRESHOLD SELECTION FOR SOUTH AFRICAN SHIP DETECTION IN ASAR IMAGERY |
| Colin Schwegmann; Council for Scientific and Industrial Research (CSIR) |
| Waldo Kleynhans; Council for Scientific and Industrial Research (CSIR) |
| Brian Salmon; Council for Scientific and Industrial Research (CSIR) |
| MOP.N.101: VALIDATION OF AN AUTOMATIC SYSTEM TO DETECT OIL SPILLS IN X- AND L-BAND SAR IMAGES |
| Paolo Trivero; Università del Piemonte Orientale |
| Walter Biamino; Università del Piemonte Orientale |
| Marco Cavagnero; Università del Piemonte Orientale |
| Lorenza Di Matteo; Università del Piemonte Orientale |
| Davide Loreggia; Istituto Nazionale di Astrofisica |
| MOP.N.102: FEATURE SELECTION AND CLASSIFICATION OF OIL SPILLS IN SAR IMAGE BASED ON STATISTICS AND ARTIFICIAL NEURAL NETWORK |
| Youjun Ma; Ocean University of China |
| Kan Zeng; Ocean University of China |
| Chaofang Zhao; Ocean University of China |
| Xintao Ding; Ocean University of China |
| Ming-Xia He; Ocean University of China |
