Session Title | FR3.R5: Image Segmentation II |
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Presentation Mode | Oral |
Session Time | Friday, 02 August, 13:40 - 15:20 |
Location | Room 315 |
Session Chairs | Yang Xu, Nanjing University of Science and Technology and Begüm Demir, Technische Universität Berlin |
FR3.R5.1: DEEP LEARNING METHODS FOR CROP CLASSIFICATION MAPS FILTRATION |
Mykola Lavreniuk; Space Research Institute NASU-SSAU |
FR3.R5.2: A NOVEL STATISTICAL-BASED SCALE-INDEPENDENT APPROACH TO UNSUPERVISED WATER SEGMENTATION OF SAR IMAGES |
Francesco Asaro; Politecnico di Milano |
FR3.R5.3: UNSUPERVISED POLSAR IMAGE FACTORIZATION WITH DEEP CONVOLUTIONAL NETWORKS |
Haixia Bi; University of Derby |
Feng Xu; Fudan University |
Zhiqiang Wei; Xi’an Electronics and Engineering Institute |
Yibo Han; Nanyang Institute of Technology |
Yuanlong Cui; University of Derby |
Yong Xue; University of Derby |
Zongben Xu; Xi’an Jiaotong University |
FR3.R5.4: EFFICIENT MULTI-CLASS SEMANTIC SEGMENTATION OF HIGH RESOLUTION AERIAL IMAGERY WITH DILATED LINKNET |
Qingtian Zhu; Beijing University of Posts and Telecommunications |
Yumin Zheng; Beijing University of Posts and Telecommunications |
Yulai Jiang; Beijing University of Posts and Telecommunications |
Junli Yang; Beijing University of Posts and Telecommunications |
FR3.R5.5: A MULTI-TASK DEEP LEARNING FRAMEWORK COUPLING SEMANTIC SEGMENTATION AND IMAGE RECONSTRUCTION FOR VERY HIGH RESOLUTION IMAGERY |
Maria Papadomanolaki; National Technical University of Athens |
Konstantinos Karantzalos; National Technical University of Athens |
Maria Vakalopoulou; CentraleSupélec, Université Paris-Saclay |