TU4.L2: Ship and Road Detection

Session Type: Oral
Time: Tuesday, July 25, 16:20 - 18:00
Location: Ballroom A
Session Chairs: Gianni Poggi, University of Naples and Mats Pettersson, Blekinge Institute of Technology
 
16:20 - 16:40
TU4.L2.1: A FULLY CONVOLUTIONAL NEURAL NETWORK FOR LOW-COMPLEXITY SINGLE-STAGE SHIP DETECTION IN SENTINEL-1 SAR IMAGES
         Davide Cozzolino; University of Naples Federico II
         Gerardo Di Martino; University of Naples Federico II
         Giovanni Poggi; University of Naples Federico II
         Luisa Verdoliva; University of Naples Federico II
 
16:40 - 17:00
TU4.L2.2: SHIP DETECTION USING WEIGHTED SVM AND M-CHI DECOMPOSITION IN COMPACT POLARIMETRIC SAR IMAGERY
         Kefeng Ji; National University of Defense Technology
         Xiangguang Leng; National University of Defense Technology
         Haibo Wang; National University of Defense Technology
         Shilin Zhou; National University of Defense Technology
         Huanxin Zou; National University of Defense Technology
 
17:00 - 17:20
TU4.L2.3: TRANSDUCTIVE ATTRIBUTES FOR SHIP CATEGORY RECOGNITION
         Quentin Oliveau; Télécom Paristech
         Hichem Sahbi; Télécom Paristech
 
17:20 - 17:40
TU4.L2.4: COHERENCE ESTIMATION IN THE LOW-BACKSCATTERING AREA USING MULTITEMPORAL TERRASAR-X IMAGES AND ITS APPLICATION ON ROAD DETECTION
         Fanghong Xiao; University of Electronic Science and Technology of China
         Yan Chen; University of Electronic Science and Technology of China
         Ling Tong; University of Electronic Science and Technology of China
         Xun Yang; University of Electronic Science and Technology of China
 
17:40 - 18:00
TU4.L2.5: ROAD WIDTH MEASUREMENT FROM REMOTE SENSING IMAGES
         Zhichao Xia; Xiamen University
         Yu Zang; Xiamen University
         Cheng Wang; Xiamen University
         Jonathan Li; Xiamen University