MO4.R1.5

DENSELY ARRANGED SHIP DETECTION IN SAR IMAGES BASED ON CLUSTER DETECTION

Yilei Shi, Qiaoyu Liu, Hecheng Jia, Haipeng Wang, Fudan University, China
Session:
MO4.R1: Object Detection and Recognition VII Oral
Track:
Data Analysis
Location:
Trianti
Presentation Time:
Mon, 8 Jul, 17:16 - 17:30
Session Co-Chairs:
Nicolas Gasnier, CNES and Kristian Sørensen, Technological University of Denmark and Takeshi Nishimura, Mitsubishi Electric Software Corporation
Presentation
Discussion
Resources
No resources available.
Session MO4.R1
MO4.R1.1: SUPERPIXEL-BASED NEARSHORE SHIP DETECTION METHOD ENHANCED BY FUZZY C-MEANS CLUSTERING
Wenlong Hu, Sun Yat-sen University, China; Jie Long, Qian Liu, Chang Liu, Beijing Institute of Control and Electronic Technology, China; Qingsong Wang, Sun Yat-sen University, China
MO4.R1.2: YOLOX-DRONE: AN IMPROVED OBJECT DETECTION METHOD FOR UAV IMAGES
Yuqing Zhang, Huanxin Zou, Shitian He, Xu Cao, Meilin Li, Shuo Liu, Liyuan Pan, National University of Defense Technology, China
MO4.R1.3: APPLICATION FOR SHIP DETECTION USING SKEWNESS AND KURTOSIS
Takeshi Nishimura, Yoshikuni Shindo, Mitsubishi Electric Software Corporation, Japan
MO4.R1.4: AN IMPROVED RANGE AMBIGUITY RESOLUTION ALGORITHM FOR GNSS-BASED BISTATIC RADAR TARGET DETECTION
Peng Zhao, Pengbo Wang, Tao Tang, Ziheng Ren, Men Zhirong, Beihang University, China
MO4.R1.5: DENSELY ARRANGED SHIP DETECTION IN SAR IMAGES BASED ON CLUSTER DETECTION
Yilei Shi, Qiaoyu Liu, Hecheng Jia, Haipeng Wang, Fudan University, China
MO4.R1.6: AIRCRAFT DETECTION AND STATE ESTIMATION
Peder Heiselberg, Kristian Sørensen, Henning Heiselberg, Technological University of Denmark, Denmark
MO4.R1.7: DESIGN OF MISMATCH FILTER FOR LFM WAVEFORM IN FREQUENCY DOMAIN VIA GRADIENT OPTIMIZATION
Yi Wang, Hui Qiu, Xianxiang Yu, Guolong Cui, University of Electronic Science and Technology of China, China
Resources
No resources available.