MO4.L3: Ship Detection |
Session Type: Oral |
Time: Monday, July 11, 15:40 - 17:20 |
Location: Room 308 |
Session Chair: Xiaofeng Li, NOAA/NESDIS |
15:40 - 16:00 |
MO4.L3.1: ATTRIBUTE LEARNING FOR SHIP CATEGORY RECOGNITION IN REMOTE SENSING IMAGERY |
Quentin Oliveau; Télécom ParisTech |
Hichem Sahbi; Télécom ParisTech |
16:00 - 16:20 |
MO4.L3.2: A NOVEL THRESHOLD TEMPLATE ALGORITHM FOR SHIP DETECTION IN HIGH-RESOLUTION SAR IMAGES |
Chonglei Wang; Beijing Institute of Technology |
Fukun Bi; North China University of Technology |
Liang Chen; Beijing Institute of Technology |
Jing Chen; North China University of Technology |
16:20 - 16:40 |
MO4.L3.3: VERY DEEP LEARNING FOR SHIP DISCRIMINATION IN SYNTHETIC APERTURE RADAR IMAGERY |
Colin Peter Schwegmann; Council for Scientific and Industrial Research |
Waldo Kleynhans; Council for Scientific and Industrial Research |
Brian Salmon; University of Tasmania |
Lizwe Mdakane; Council for Scientific and Industrial Research |
Rory Meyer; Council for Scientific and Industrial Research |
16:40 - 17:00 |
MO4.L3.4: A NOVEL ADAPTIVE SHIP DETECTION METHOD FOR SPACEBORNE SAR IMAGERY |
Xiangguang Leng; National University of Defense Technology |
Kefeng Ji; National University of Defense Technology |
Qingju Fan; National University of Defense Technology |
Shilin Zhou; National University of Defense Technology |
Huanxin Zou; National University of Defense Technology |
17:00 - 17:20 |
MO4.L3.5: A NEW POLSAR SHIP DETECTION METRIC FUSED BY POLARIMETRIC SIMILARITY AND THE THIRD EIGENVALUE OF THE COHERENCY MATRIX |
Yuyang Xi; Beijing University of Chemical Technology |
Xi Zhang; State Oceanic Administration |
Quan Lai; Inner Mongolia Normal University |
Wei Li; Beijing University of Chemical Technology |
Haitao Lang; Beijing University of Chemical Technology |