2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

TU1.R7.12

A WAVELET DOMAIN BASED CNN SHIP CLASSIFICATION METHOD FOR HIGH RESOLUTION OPTICAL SATELLITE REMOTE SENSING IMAGES

Mengyang Li, Weiwei Sun, Naval Aviation University, China; Darong Xian, The People's Liberation Army unit 93-155, China; Xiaohan Zhang, Xun Lin, Libo Yao, Pengyu Zhou, Naval Aviation University, China
Session:
Learning and Transformation for Image Classification
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Tue, 29 Sep, 13:50-14:00 (UTC)
Tue, 29 Sep, 21:50-22:00 China Standard Time (UTC +8)
Tue, 29 Sep, 15:50-16:00 Central Europe Summer Time (UTC +2)
Tue, 29 Sep, 06:50-07:00 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Devis Tuia, Wageningen University & Research and Begüm Demir, Technische Universität Berlin
Session Managers:
Gladys Villegas and Mirnayani M

Presentation

Discussion

Resources

Session

TU1.R7.1: MULTI-LABEL REMOTE SENSING IMAGE CLASSIFICATION WITH DEFORMABLE CONVOLUTIONS AND GRAPH NEURAL NETWORKS
Yingyu Diao, Jingzhou Chen, Yuntao Qian, Zhejiang University, China
TU1.R7.2: LEARNING MULTI-LABEL AERIAL IMAGE CLASSIFICATION UNDER LABEL NOISE: A REGULARIZATION APPROACH USING WORD EMBEDDINGS
Yuansheng Hua, German Aerospace Center & Technical University of Munich, Germany; Sylvain Lobry, Wageningen University & Research, Netherlands; Lichao Mou, German Aerospace Center & Technical University of Munich, Germany; Devis Tuia, Wageningen University & Research, Netherlands; Xiao Xiang Zhu, German Aerospace Center & Technical University of Munich, Germany
TU1.R7.3: COMPARING THE PERFORMANCE OF MATHEMATICAL MORPHOLOGY AND BHATTACHARYYA DISTANCE FOR AIRPORT EXTRACTION
Wallace Casaca, Daniel Ederli, Erivaldo Silva, Fernando Baixo, Universidade Estadual Paulista (UNESP), Brazil; Thamires Godoy, Universidade Estadual Paulista, Brazil; Marilaine Colnago, Universidade Estadual Paulista (UNESP), Brazil
TU1.R7.4: SE-HRNet: A Deep High-Resolution Network with Attention for Remote Sensing Scene Classification
Lingling Li, Tian Tian, China University of Geosciences, China; Hang Li, Beijing Aerospace System Engineering Research Institute, China; Lizhe Wang, China University of Geosciences, China
TU1.R7.5: REMOTE SENSING SCENE CLASSIFICATION BASED ON GLOBAL AND LOCAL CONSISTENT NETWORK
Jingjing Ma, Qiushuo Ma, Xu Tang, Xiangrong Zhang, Cheng Zhu, Xidian University, China; Qunnie Peng, Science and Technology on Electro-optic Control Laboratory, China; Licheng Jiao, Xidian University, China
TU1.R7.6: SEMI-SUPERVISED LEARNING-BASED REMOTE SENSING IMAGE SCENE CLASSIFICATION VIA ADAPTIVE PERTURBATION TRAINING
Chen Wang, Jun Shi, Yikai Ni, Yuanyuan Zhou, Xiaqing Yang, Shunjun Wei, Xiaoling Zhang, University of Electronic Science and Technology of China, China
TU1.R7.7: GRAPH EMBEDDING FOR REMOTE SCENE IMAGE CLASSIFICATION BASED ON ATTENTION MODEL
Jinsheng Ji, Shanghai Jiao Tong University, China; Xiankai Lu, Inception Institute of Artificial Intelligence, United Arab Emirates; Zhen Yang, Jiangxi Science and Technology Normal University, China; Yiyou Guo, Tongji University, China; Huilin Xiong, Shanghai Jiao Tong University, China
TU1.R7.8: Remote Sensing Scene Classification Using Spatial Transformer Fusing Network
Shun Tong, Kunlun Qi, Qingfeng Guan, Qiqi Zhu, Chao Yang, China University of Geosciences (Wuhan), China; Jie Zheng, Wuhan University, China
TU1.R7.10: GREENHOUSE EXTRACTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGERY WITH IMPROVED RANDOM FOREST
Tianjing Feng, China University of Geosciences, China; Hairong Ma, Hubei Academy of Agricultural Science, China; Xinwen Cheng, China University of Geosciences, China
TU1.R7.11: LITHIUM (LI) PEGMATITE MAPPING USING ARTIFICIAL NEURAL NETWORKS (ANNS): PRELIMINARY RESULTS
Joana Cardoso-Fernandes, Ana Cláudia Teodoro, Alexandre Lima, Faculty of Sciences, University of Porto, Portugal; Encarnación Roda-Robles, Universidad del País Vasco, Spain
TU1.R7.12: A WAVELET DOMAIN BASED CNN SHIP CLASSIFICATION METHOD FOR HIGH RESOLUTION OPTICAL SATELLITE REMOTE SENSING IMAGES
Mengyang Li, Weiwei Sun, Naval Aviation University, China; Darong Xian, The People's Liberation Army unit 93-155, China; Xiaohan Zhang, Xun Lin, Libo Yao, Pengyu Zhou, Naval Aviation University, China