FR1.R17.5

CHANGE DETECTION NETWORK OF NEARSHORE SHIPS FOR MULTI-TEMPORAL OPTICAL REMOTE SENSING IMAGES

Jingyi Cao, Yanan You, Yuanyong Ning, Wenli Zhou, Beijing University of Posts and Telecommunications, China

Session:
Machine Learning for Multitemporal Image Analysis

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

Presentation Time:
Fri, 2 Oct, 12:40-12:50 (UTC)
Fri, 2 Oct, 20:40-20:50 China Standard Time (UTC +8)
Fri, 2 Oct, 14:40-14:50 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 05:40-05:50 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Flavien Vernier, University Savoie Mont Blanc and Saloua Chlaily, University of Tromso, Norway
Session Managers:
Vasala Saicharan and Mohammad Al-Khaldi

Presentation

Discussion

Resources

Session

FR1.R17.1: S2-cGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images
Jose Luis Holgado Alvarez, Mahdyar Ravanbakhsh, Begüm Demir, TU Berlin, Germany
FR1.R17.2: FLOOD MAPPING WITH SAR AND MULTI-SPECTRAL REMOTE SENSING IMAGES BASED ON WEIGHTED EVIDENTIAL FUSION
Xi Chen, Yaokui Cui, Peking University, China; Changjun Wen, Mingxuan Zheng, Yuan Gao, Ministry of Civil Affairs of the People's Republic of China, China; Jing Li, Beijing Normal University, China
FR1.R17.3: A GPU ACCELERATED CONTOURLET METHOD FOR DETECTING CHANGES DUE TO FIRE USING REMOTE SENSING
Rizwan Ahmed Ansari, North Carolina Central University, United States; Winnie Thomas, Indian Institute of Technology Bombay, India; Rakesh Malhotra, North Carolina Central University, United States; Krishna Mohan Buddhiraju, Indian Institute of Technology Bombay, India
FR1.R17.4: HYPERSPECTRAL IMAGE CHANGE DETECTION BY SELF-SUPERVISED TENSOR NETWORK
Feng Zhou, Zhao Chen, Donghua University, China
FR1.R17.5: CHANGE DETECTION NETWORK OF NEARSHORE SHIPS FOR MULTI-TEMPORAL OPTICAL REMOTE SENSING IMAGES
Jingyi Cao, Yanan You, Yuanyong Ning, Wenli Zhou, Beijing University of Posts and Telecommunications, China
FR1.R17.6: GEOSOT GRID REMOTE SENSING INTELLIGENT INTERPRETATION MODEL BASED ON FINE-TUNING RESNET-18: A CASE STUDY OF CONSTRUCTION LAND
Daoye Zhu, Yi Yang, Weixin Zhai, Fuhu Ren, Chengqi Cheng, Peking University, China; Min Huang, Wuhan University, China
FR1.R17.8: CHANGE OF GLACIAL LAKE IN KARAKORAM RANGE
Fan Mou, Danyang Wang, Jiaxi Liu, Zezhong Zheng, University of Electronic Science and Technology of China, China; Liming Jiang, Chinese Academy of Sciences, China; Guoqing Zhou, Guilin University of Technology, China; Fangrong Zhou, Yunnan Power Grid Co., Ltd., China
FR1.R17.9: SIAMESE GENERATIVE ADVERSARIAL NETWORK FOR CHANGE DETECTION UNDER DIFFERENT SCALES
Mengxi Liu, Qian Shi, Penghua Liu, Cheng Wan, Sun Yat-sen University, China
FR1.R17.10: A DEEP GENERALIZED CORRELATION NETWORK FOR BITEMPORAL IMAGE CHANGE DETECTION
Rongfang Wang, Weidong Wang, Jia-Wei Chen, Licheng Jiao, Hongxia Hao, Xidian University, China
FR1.R17.11: A LIGHTWEIGHT CONVOLUTIONAL NEURAL NETWORK FOR BITEMPORAL IMAGE CHANGE DETECTION
Rongfang Wang, Fan Ding, Jia-Wei Chen, Licheng Jiao, Liang Wang, Xidian University, China
FR1.R17.12: PROPAGATED UNCERTAINTY FOR HORIZONTAL GROUND MOTION DERIVED FROM MULTI-TEMPORAL DIGITAL ELEVATION MODELS
Preston Hartzell, Craig Glennie, University of Houston, United States