WE7.V5.4

ADVERSARIAL SELF-TRAINING UNSUPERVISED DOMAIN ADAPTATION FOR REMOTE SENSING SCENE CLASSIFICATION

ying huang, Tangsheng Li, School of Software Engineering, Chongqing University of Posts and Telecommunications, China; Su Liu, wenhao mei, Chongqing University of Posts and Telecommunications, China

Session:
Classification and Clustering V Oral Virtual

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

Location:
Virtual Room 5

Presentation Time:
Wed, 20 Jul, 23:45 - 00:00 Malaysia Time (UTC +8)
Wed, 20 Jul, 17:45 - 18:00 Central European Time (UTC +2)
Wed, 20 Jul, 15:45 - 16:00 UTC
Wed, 20 Jul, 11:45 - 12:00 Eastern Time (UTC -4)

Session Chair:
Ferdinand Rewicki, German Aerospace Center (DLR)
Session Manager:
Chiong Hieng Tiong
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Session WE7.V5
WE7.V5.1: ESTIMATING UNCERTAINTY OF DEEP LEARNING MULTI-LABEL CLASSIFICATIONS USING LAPLACE APPROXIMATION
Ferdinand Rewicki, Jakob Gawlikowski, German Aerospace Center (DLR), Germany
WE7.V5.2: CROSS-DOMAIN ATTENTION NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Chenglong Wang, Minchao Ye, Ling Lei, China Jiliang University, China; Fengchao Xiong, Nanjing University of Science and Technology, China; Yuntao Qian, Zhejiang University, China
WE7.V5.3: CROSS-DOMAIN LOCAL CLIMATE ZONE CLASSIFICATION WITH DISTANCE METRIC BASED ON DOMAIN ADAPTATION METHOD
Longli Ran, Qiqi Zhu, Qingfeng Guan, China University of Geosciences, China
WE7.V5.4: ADVERSARIAL SELF-TRAINING UNSUPERVISED DOMAIN ADAPTATION FOR REMOTE SENSING SCENE CLASSIFICATION
ying huang, Tangsheng Li, School of Software Engineering, Chongqing University of Posts and Telecommunications, China; Su Liu, wenhao mei, Chongqing University of Posts and Telecommunications, China
WE7.V5.5: ASYMMETRIC TRAINING OF GENERATIVE ADVERSARIAL NETWORK FOR HIGH FIDELITY SAR IMAGE GENERATION
Ying Huang, wenhao mei, School of Software Engineering, Chongqing University of Posts and Telecommunications, China; Su Liu, tangsheng li, Chongqing University of Posts and Telecommunications, China
WE7.V5.6: A Domain Adaptation Network for Cross-imaging Satellites SAR Image Ship Classification
Siyuan Zhao, Ying Luo, Bin Cai, Air Force Engineering University, China; Yin Xu, Zenghui Zhang, Shanghai Jiao Tong University, China; Weiwei Guo, Tongji University, China