International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR2.MM-8: Deep Learning for Image Analysis and Classification
Fri, 16 Jul, 11:00 - 12:10 (UTC)
Fri, 16 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Fri, 16 Jul, 07:00 - 08:10 Eastern Standard Time (UTC -4)
Session Chair: Mihai Datcu, Research Center for Spatial Information (CEOSpaceTech), University POLITEHNICA of Bucharest (UPB) and Earth Observation Center (EOC), German Aerospace Center (DLR)
Session Manager: Jordi Cortes
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

FR2.MM-8.1: Rethinking the High Frequency Components in Deep Sub-pixel Mapping Network

Da He, Sun Yat-Sen University, China; Yanfei Zhong, Wuhan University, China; Qian Shi, Xiaoping Liu, Sun Yat-Sen University, China

FR2.MM-8.4: COMPARING CNN ARCHITECTURES FOR LAND COVER CLASSIFICATION ON MULTISPECTRAL IMAGES

Bryce Engelbrecht, Amazon Development Center South Africa, South Africa; Terence Van Zyl, University of Johannesburg, South Africa

FR2.MM-8.5: FEATURE EXCHANGE FOR MULTISOURCE DATA CLASSIFICATION IN WETLAND SCENE

Yunhao Gao, Wei Li, Mengmeng Zhang, Ran Tao, Beijing Institute of Technology, China

FR2.MM-8.6: SEMI-SUPERVISED POLSAR IMAGE CLASSIFICATION BASED ON DEEP CO-TRAINING WITH SUPERPIXEL RESTRAINED STRATEGY

Feng Zhao, Lin Liu, Lu Zhang, Xi’an University of Posts and Telecommunications, China; Hanqiang Liu, Shaanxi Normal University, China; Yanyang Cheng, Xi’an University of Posts and Telecommunications, China

FR2.MM-8.7: DEEP REGRESSOR NETWORKS FOR BLIND IMAGE DEBLURRING

Rafael Pires, Daniel Santos, Leandro Passos, Joao Papa, Sao Paulo State University, Brazil

FR2.MM-8.8: Trustworthy resolution enhancement for sentinel 2 spectral bands

Ionuț-Marian Olteanu, Research Center for Spatial Information (CEOSpaceTech), University POLITEHNICA of Bucharest (UPB), Romania; Mihai Datcu, Research Center for Spatial Information (CEOSpaceTech), University POLITEHNICA of Bucharest (UPB) and Earth Observation Center (EOC), German Aerospace Center (DLR), Germany

FR2.MM-8.9: EML-GAN: GENERATIVE ADVERSARIAL NETWORK-BASED END-TO-END MULTI-TASK LEARNING ARCHITECTURE FOR SUPER-RESOLUTION RECONSTRUCTION AND SCENE CLASSIFICATION OF LOW-RESOLUTION REMOTE SENSING IMAGERY

Weihuan Deng, Qiqi Zhu, ‎China University of Geosciences, China; Xiongli Sun, Wuhan University, China; Weihua Lin, Qingfeng Guan, ‎China University of Geosciences, China