WE1.T09: Building Detection and Object Recognition

Session Type: Oral
Time: Wednesday, July 27, 08:20 - 10:00
Location: Ballroom C
Session Chairs: Massimiliano Aldrighi, University of Pavia and Lionel Gueguen, Joint Research Centre of the European Commission
 
WE1.T09.1: A CONTEXTUAL APPROACH TO BUILDING EXTRACTION COMBINING HIGH-RESOLUTION INSAR AND OPTICAL DATA
         Jan Dirk Wegner; Leibniz Universität Hannover
         Uwe Soergel; Leibniz Universität Hannover
 
WE1.T09.2: LOCAL FEATURE BASED SUPERVISED OBJECT DETECTION: SAMPLING, LEARNING AND DETECTION STRATEGIES
         Julien Michel; Centre National d'Etudes Spatiales (CNES)
         Manuel Grizonnet; Centre National d'Etudes Spatiales (CNES)
         Jordi Inglada; Centre d'Etudes Spatiales de la BIOsphère (CESBIO) / Centre National d'Etudes Spatiales (CNES)
         Julien Malik; CS
         Aurélien Bricier; CS
         Otmane Lahlou; CS
 
WE1.T09.3: DETECTION OF COMPOUND STRUCTURES USING HIERARCHICAL CLUSTERING OF STATISTICAL AND STRUCTURAL FEATURES
         Gokhan Akcay; Bilkent University
         Selim Aksoy; Bilkent University
 
WE1.T09.4: A NEW ROAD EXTRACTION APPROACH FOR LOW-FREQUENCY SAR IMAGES BASED ON ROAD APPURTENANCE DETECTION
         Qian Song; National University of Defense Technology
         Yu-Min Wang; National University of Defense Technology
         Yun-Fei Shi; National University of Defense Technology
         Tian Jin; National University of Defense Technology
 
WE1.T09.5: BUILDING CHANGE DETECTION IN A COUPLE OF OPTICAL AND SAR HIGH RESOLUTION IMAGES
         Edouard Barthelet; Institut Telecom, Telecom Bretagne
         Grégoire Mercier; Institut Telecom, Telecom Bretagne
         Léonard Denise; Thales Communications