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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU3.O-9.5

ADVERSARIAL FINE-GRAINED ADAPTATION NETWORK FOR CROSS-SCENE CLASSIFICATION

Sihan Zhu, Fulin Luo, Bo Du, Liangpei Zhang, Wuhan University, China
Session:
Deep Learning for Semantic Segmentation and Image Classification II
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Tue, 13 Jul, 13:25-13:40 (UTC)
Tue, 13 Jul, 15:25-15:40 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 21:25-21:40 China Standard Time (UTC +8)
Tue, 13 Jul, 09:25-09:40 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Shutao Li, Hunan University and Claudio Persello, University of Twente
Session Manager:
Thimm Zwiener
Presentation
Discussion
Resources
Session TU3.O-9
TU3.O-9.1: ENSEMBLE CNN BASED ON PIXEL-PAIR AND RANDOM FEATURE SELECTION FOR HYPERSPECTRAL IMAGE CLASSIFICATION WITH SMALL-SIZE TRAINING SET
Shuxian Dong, Yinghui Quan, Wei Feng, Xidian University, China; Qiang Li, Northwestern Polytechnical University, China; Gabriel Dauphin, University Paris XIII, France; Mengdao Xing, Xidian University, China
TU3.O-9.2: NEURAL STOCHASTIC DIFFERENTIAL EQUATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Xiao Zhang, Wei Wei, Lei Zhang, Northwestern Polytechnical University, China; Chen Ding, Xi'an University of Posts and Telecommunications, China
TU3.O-9.3: SEMI-SUPERVISED SAR ATR VIA CONDITIONAL GENERATIVE ADVERSARIAL NETWORK WITH MULTI-DISCRIMINATOR
Xiaoyu Liu, Yulin Huang, Chenwei Wang, Jifang Pei, Weibo Huo, Yin Zhang, Jianyu Yang, University of Electronic Science and Technology of China, China
TU3.O-9.4: SELF-SUPERVISED AUTO-ENCODING MULTI-TRANSFORMATIONS FOR AIRPLANE CLASSIFICATION
Yin Xu, Ziteng Cui, Shanghai Jiao Tong University, China; Weiwei Guo, Tongji University, China; Zenghui Zhang, Wenxian Yu, Shanghai Jiao Tong University, China
TU3.O-9.5: ADVERSARIAL FINE-GRAINED ADAPTATION NETWORK FOR CROSS-SCENE CLASSIFICATION
Sihan Zhu, Fulin Luo, Bo Du, Liangpei Zhang, Wuhan University, China
TU3.O-9.6: PERFORMANCE OF DIFFERENT U-NET ARCHITECTURES FOR INVENTORY OF COCONUT PLANTATIONS USING CARTOSAT-2 MULTISPECTRAL DATA
Sujeeth Vankudari, Navneet Raju, Anirudh Maiya, PES University, India; Hebbar R, National Remote Sensing Centre-ISRO, India; Uma D, Shylaja SS, PES University, India; Ganesha Raj, National Remote Sensing Centre-ISRO, India

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