Slide Fifth
Slide Second
Slide Fourth
Slide Sixth
Slide Sixth
International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

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
Session:
Deep Learning for Image Analysis and Classification
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Fri, 16 Jul, 11:15-11:20 (UTC)
Fri, 16 Jul, 13:15-13:20 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 19:15-19:20 China Standard Time (UTC +8)
Fri, 16 Jul, 07:15-07:20 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Mihai Datcu, Research Center for Spatial Information (CEOSpaceTech), University POLITEHNICA of Bucharest (UPB) and Earth Observation Center (EOC), German Aerospace Center (DLR) and Weihuan Deng, ‎China University of Geosciences
Session Manager:
Jordi Cortes
Presentation
Discussion
Resources
Session FR2.MM-8
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-8.2: A MULTI-BRANCH NETWORK BASED ON WEIGHT SHARING AND ATTENTION MECHANISM FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Zhen Guo, Caihong Mu, Yi Liu, Xidian University, China
FR2.MM-8.3: DOMAIN ADAPTATION BASED ON GRAPH AND STATISTICAL FEATURES FOR CROSS-SCENE HYPERSPECTRAL IMAGE CLASSIFICATION
Yuxiang Zhang, Wei Li, Ran Tao, Beijing Institute of Technology, 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

Quicklinks

Downloads

Programme guide