International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU2.MM-6: Ship Detection
Tue, 13 Jul, 11:00 - 12:10 (UTC)
Tue, 13 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Tue, 13 Jul, 07:00 - 08:10 Eastern Standard Time (UTC -4)
Session Manager: Louise Delhaye
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

TU2.MM-6.1: SMALL SHIP DETECTION VIA DEFORMABLE CONVOLUTIONAL NETWORK

Yao Wang, Ganggang Dong, Hongwei Liu, Xidian University, China

TU2.MM-6.2: ShipSRDet: An End-to-End Remote Sensing Ship Detector Using Super-Resolved Feature Representation

Shitian He, Huanxin Zou, Yingqian Wang, Runlin Li, Fei Cheng, National University of Defense Technology, China

TU2.MM-6.3: SHIP DETECTION AND RECOGNITION IN OPTICAL REMOTE SENSING IMAGES BASED ON SCALE ENHANCEMENT ROTATING CASCADE R-CNN NETWORKS

caiguang zhang, gangyao kuang, boli xiong, National University of Defense Technology, China

TU2.MM-6.4: YOLOV3 BASED SHIP DETECTION IN VISIBLE AND INFRARED IMAGES

Lena Chang, Yi-Ting Chen, Ming-Hung Hung, Jung-Hua Wang, National Taiwan Ocean University, Taiwan; Yang-Lang Chang, National Taipei University of Technology, Taiwan

TU2.MM-6.5: SHIP DETECTION FROM OPTICAL REMOTE SENSING IMAGERY BASED ON SCENE CLASSIFICATION AND SALIENCY-TUNED RETINANET

ruoting yin, Beijing University of Chemical Technology, China; Qizhi Xu, Beijing Institute of Technology, China; Ding Yifang, Institute of Beijing Remote sensing Information, China

TU2.MM-6.7: SHIP DETECTION AND CLASSIFICATION IN EO/IR VHR SATELLITE IMAGERY

Igor Zakharov, C-CORE, Canada; Daniel Lavigne, DRDC, Canada; Sherry Warren, Michael Henschel, Desmond Power, Mark Howell, C-CORE, Canada

TU2.MM-6.8: SAR SHIP DETECTION BASED ON AN IMPROVED FASTER R-CNN USING DEFORMABLE CONVOLUTION

Xiao Ke, Xiaoling Zhang, Tianwen Zhang, Jun Shi, Shunjun Wei, University of Electronics Science and Technology of China, China

TU2.MM-6.9: FAST SHIP DETECTION METHOD FOR SAR IMAGES IN THE INSHORE REGION

Xiaoya Fu, Zhaocheng Wang, Hebei University of Technology, China

TU2.MM-6.10: A FEATURE ENHANCEMENT METHOD BASED ON THE SUB-APERTURE DECOMPOSITION FOR ROTATING FRAME SHIP DETECTION IN SAR IMAGES

Songlin Lei, Xiaolan Qiu, Chibiao Ding, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Shujie Lei, Shanghai Radio Equipment Research Institute, China