17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

MO6.V5.6

SAR SHIP DETECTION NETWORK INCORPRATING CFAR PREPROCESSING

Wenbo Zhou, Hecheng Jia, Xiayang Xiao, Feng Xu, Fudan University, China
Session:
Ship Detection Multimedia Virtual
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Virtual Room 5
Presentation Time:
Mon, 18 Jul, 21:35 - 22:45 Malaysia Time (UTC +8)
Mon, 18 Jul, 15:35 - 16:45 Central European Time (UTC +1)
Mon, 18 Jul, 13:35 - 14:45 UTC
Mon, 18 Jul, 09:35 - 10:45 Eastern Time (UTC -5)
Session Chair:
Xavier Bosch-Lluis, Jet Propulsion Laboratory / California Institute of Technology
Session Manager:
Chiong Hieng Tiong
Presentation
Discussion
Resources
No resources available.
Session MO6.V5
MO6.V5.1: SA-YOLO: THE SALIENCY ADJUSTED DEEP NETWORK FOR OPTICAL SATELLITE IMAGE SHIP DETECTION
Shuchen Wang, Hairan Sun, Yihang Zhu, Mingkai Li, Qizhi Xu, Beijing Institute of Technology, China
MO6.V5.2: SHIP DETECTION IN RANGE-COMPRESSED SAR DATA
Xiangguang Leng, Jin Wang, Kefeng Ji, Gangyao Kuang, National University of Defense Technology, China
MO6.V5.3: SAR SHIP DETECTION USING YOLOV5 ALGORITHM WITH ANCHOR BOXES CLUSTER
Xiaowo Xu, Xiaoling Zhang, Tianwen Zhang, University of Electronic Science and Technology of China, China
MO6.V5.4: POLSAR SHIP DETECTION WITH THE SUB-APERTURE TECHNOLOGY
Tao Zhang, Zenghui Zhang, Huilin Xiong, Wenxian Yu, Shanghai Jiao Tong University, China; Weiwei Guo, Tongji University, China
MO6.V5.5: SAR SHIP DETECTION BASED ON YOLOV5 USING CBAM AND BIFPN
Yue Guo, Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang, National University of Defense Technology, China
MO6.V5.6: SAR SHIP DETECTION NETWORK INCORPRATING CFAR PREPROCESSING
Wenbo Zhou, Hecheng Jia, Xiayang Xiao, Feng Xu, Fudan University, China
MO6.V5.7: RESEARCH ON NEURAL NETWORK POST-QUANTIZATION METHOD FOR SHIP DETECTION IN SAR IMAGES
Penghao Xiao, Xiaojing Lin, Haipeng Wang, 复旦大学, China
MO6.V5.8: POLARIMETRIC PASSIVE MILLIMETER-WAVE IMAGING OF SURFACE VESSELS
Yayun Cheng, Xun Tian, Harbin Institute of Technology, China; Liang Wu, 9th Designing of China Aerospace Science Industry Corporation, China
MO6.V5.9: SAR SHIP DETECTION BASED ON SWIN TRANSFORMER AND FEATURE ENHANCEMENT FEATURE PYRAMID NETWORK
Xiao Ke, Xiaoling Zhang, Tianwen Zhang, Jun Shi, Shunjun Wei, School of Information and Communication Engineering, China
MO6.V5.10: FIRST RESULTS OF SHIP WAKE DETECTION BY DEEP LEARNING TECHNIQUES IN MULTISPECTRAL SPACEBORNE IMAGES
Claudio Esposito, Roberto Del Prete, Maria Daniela Graziano, Alfredo Renga, Università degli Studi di Napoli, Italy