TU3.R1.3

Rotated Ship Detection Based on Dense Points in High Resolution Remote Sensing Images

Ning Zhao, Jiawei Shi, China Academy of Space Technology, China; Haopeng Zhang, Zhiguo Jiang, Beihang University, China
Session:
TU3.R1: Novel Methods for Detection and Recognition of Marine Vessels Oral
Track:
Data Analysis
Location:
Room B
Presentation Time:
Tue, 18 Jul, 13:24 - 13:36 Pacific Time (UTC -7)
Session Co-Chairs:
Henning Heiselberg, Technical University of Denmark and Juyoung Song, Seoul National University
Session Manager:
Al Adil Al Hinai
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Session TU3.R1
TU3.R1.1: ENHANCEMENT OF VESSEL DETECTION PERFORMANCE IN SAR IMAGE UTILIZING PHASE COMPENSATION REFOCUSING FROM TARGET VELOCITY
Juyoung Song, Duk-jin Kim, Seoul National University, South Korea
TU3.R1.2: SHIP CLASSIFICATION AND IDENTIFICATION FROM SATELLITES
Henning Heiselberg, Technical University of Denmark, Denmark; Kristian Sørensen, Peder Heiselberg, DTU, Denmark
TU3.R1.3: Rotated Ship Detection Based on Dense Points in High Resolution Remote Sensing Images
Ning Zhao, Jiawei Shi, China Academy of Space Technology, China; Haopeng Zhang, Zhiguo Jiang, Beihang University, China
TU3.R1.4: DFRI:DETECTION AND FINE-GRAINED RECOGNITION INTEGRATED NETWORK FOR INSHORE SHIP
Silu Wu, Yao Zhang, Tian Tian, Jinwen Tian, Huazhong University of Science and Technology, China
TU3.R1.5: A NEW RADIATION CALIBRATION AND HIERARCHICAL TARGET CLASSIFICATION METHOD FOR SHIPBORNE RADAR ECHO
Dongying Li, Wenxian Yu, Shanghai Jiao Tong University, China; Yinhui Jiang, Wenming Middle Road, Xiashan District, Zhanjiang City, Guangdong Province, China; Tao Zhang, Shanghai Jiao Tong University, China; Yang Li, Academy Military Science, China
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