My IGARSS 2014 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

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