July 28 - August 2, 2019 • Yokohama, Japan

Pacifico Yokohama

Login Paper Search My Schedule Paper Index Help

My IGARSS 2019 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

Session Detail

Session Title FR3.R5: Image Segmentation II
Presentation Mode Oral
Session Time Friday, 02 August, 13:40 - 15:20
Location Room 315
Session ChairsYang 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