MO2.R17.1

Vehicle detection and counting from VHR satellite images: efforts and open issues

Alice Froidevaux, Andréa Julier, Agustin Lifschitz, QuantCube Technology, France; Minh-Tan Pham, Romain Dambreville, Sébastien Lefèvre, Université Bretagne Sud - IRISA, France; Pierre Lassalle, Centre National d'Etudes Spatiales (CNES), France; Thanh-Long Huynh, QuantCube Technology, France

Session:
Detection of Small Static and Moving Objects

Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:
Mon, 28 Sep, 14:30-14:40 (UTC)
Mon, 28 Sep, 22:30-22:40 China Standard Time (UTC +8)
Mon, 28 Sep, 16:30-16:40 Central Europe Summer Time (UTC +2)
Mon, 28 Sep, 07:30-07:40 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Yiyou Guo, Tongji University and Nathan Longbotham, Descartes Lab
Session Managers:
Gladys Villegas and Sarah Parker

Presentation

Discussion

Resources

Session

MO2.R17.1: Vehicle detection and counting from VHR satellite images: efforts and open issues
Alice Froidevaux, Andréa Julier, Agustin Lifschitz, QuantCube Technology, France; Minh-Tan Pham, Romain Dambreville, Sébastien Lefèvre, Université Bretagne Sud - IRISA, France; Pierre Lassalle, Centre National d'Etudes Spatiales (CNES), France; Thanh-Long Huynh, QuantCube Technology, France
MO2.R17.2: Small object detection from remote sensing images with the help of object-focused super-resolution using Wasserstein GANs
Luc Courtrai, Minh-Tan Pham, Chloé Friguet, Sébastien Lefèvre, Univ. Bretagne Sud-IRISA, France
MO2.R17.3: AIRPLANE RECOGNITION FROM REMOTE SENSING IMAGES WITH DEEP CONVOLUTIONAL NEURAL NETWORK
Fen Chen, Ruilong Ren, Wenbo Xu, University of Electronic Science and Technology of China, China; Tim Van de Voorde, Ghent University, Belgium
MO2.R17.4: VEHSAT: A LARGE-SCALE DATASET FOR VEHICLE DETECTION IN SATELLITE IMAGES
Sebastien Drouyer, ENS Paris Saclay, France
MO2.R17.5: SMALL OBJECT DETECTION IN OPTICAL REMOTE SENSING VIDEO WITH MOTION GUIDED R-CNN
Jie Feng, Yuping Liang, Zhanwei Ye, Xiande Wu, Dening Zeng, Xiangrong Zhang, Xu Tang, Xidian University, China
MO2.R17.6: CONCURRENT SEGMENTATION AND OBJECT DETECTION CNNS FOR AIRCRAFT DETECTION AND IDENTIFICATION IN SATELLITE IMAGES
Damien Grosgeorge, Maxime Arbelot, Alex Goupilleau, Tugdual Ceillier, Renaud Allioux, Earthcube, France
MO2.R17.7: GEOSPATIAL OBJECT DETECTION WITH SINGLE SHOT ANCHOR-FREE NETWORK
Yiyou Guo, Tongji University, China; Jinsheng Ji, Shanghai Jiao Tong University, China; Xiankai Lu, Inception Institute of Artificial Intelligence, United Arab Emirates; Huan Xie, Xiaohua Tong, Tongji University, China
MO2.R17.8: IMPROVING SAR TARGET RECOGNITION WITH MULTI-TASK LEARNING
Wenrui Du, Fan Zhang, Fei Ma, Qiang Yin, Yongsheng Zhou, Beijing University of Chemical Technology, China
MO2.R17.9: VEHICLE DETECTION WITH PARTIAL ANCHORS IN REMOTE SENSING IMAGES
Fuyan Ma, Bin Sun, Shutao Li, Hunan University, China; Jun Sun, Fujitsu Research and Develop Center, China
MO2.R17.10: WEAK TARGET DETECTION IN HIGH-RESOLUTION REMOTE SENSING IMAGES BY COMBINING SUPER-RESOLUTION AND DEFORMABLE FPN
Yang Bai, Harbin Institute of Technology, China; Tongyuan Zou, Space Star Technology Co., Ltd. (SST), China; Shujia Ye, Zhenqiang Qin, Guoming Gao, Yanfeng Gu, Harbin Institute of Technology, China
MO2.R17.11: VESSEL TARGET MONITORING WITH BISTATIC COMPACT HF SURFACE WAVE RADAR
Yonggang Ji, Jie Zhang, Yiming Wang, Junmin Meng, First Institute of Oceanography, Ministry of Natural Resources, China; Changjun Yu, Harbin Institute of Technology at Weihai, China; Ming Li, Ocean University of China, China; Weifeng Sun, China University of Petroleum, China