MOP2.PE: Classification Methods |
Session Type: Poster |
Time: Monday, July 24, 15:20 - 16:20 |
Location: Exhibit Hall B/C: Poster Area E |
Session Chairs: Claudia Paris, University of Trento and Dalton Lunga, Oak Ridge National Laboratory |
MOP2.PE.1: FUSION OF GENETIC-PROGRAMMING-BASED INDICES IN HYPERSPECTRAL IMAGE CLASSIFICATION TASKS |
Juan Hernández Albarracı́n; University of Campinas |
Edemir Ferreira Jr; Universidade Federal de Minas Gerais |
Jefersson Alex dos Santos; Universidade Federal de Minas Gerais |
Ricardo Torres; University of Campinas |
MOP2.PE.2: SHIP CLASSIFICATION WITH DEEP LEARNING USING COSMO-SKYMED SAR DATA |
Chao Wang; Institute of Remote Remote Sensing and Digital Earth |
Hong Zhang; Institute of Remote Remote Sensing and Digital Earth |
Fan Wu; Institute of Remote Remote Sensing and Digital Earth |
Bo Zhang; Institute of Remote Remote Sensing and Digital Earth |
Sirui Tian; Nanjing University of Science and Technology |
[Overview Presentation] MOP2.PE.3: EXTENDING OUT-OF-SAMPLE MANIFOLD LEARNING VIA META-MODELLING TECHNIQUES |
Gülşen Taşkın; Istanbul Technical University |
Melba Crawford; Purdue University |
MOP2.PE.4: VISUAL DATA MINING APPLIED ON EARTH OBSERVATION DATASETS |
Andreea Griparis; Politehnica University of Bucharest |
Florin-Andrei Georgescu; Politehnica University of Bucharest |
Mihai Datcu; German Aerospace Center (DLR) |
MOP2.PE.5: A DYNAMIC HIERARCHICAL FEATURE SELECTION METHOD FOR OBJECT-BASED CLASSIFICATION OF WETLAND |
Sahel Mahdavi; C-CORE/ Memorial University of Newfoundland |
Bahram Salehi; C-CORE/ Memorial University of Newfoundland |
Meisam Amani; C-CORE/ Memorial University of Newfoundland |
Jean Granger; C-CORE/ Memorial University of Newfoundland |
Brian Brisco; Natural Resources Canada |
Weimin Huang; Memorial University of Newfoundland |
MOP2.PE.6: MULTIPLE SVMS BASED ON RANDOM SUBSPACES FROM KERNEL FEATURE IMPORTANCE FOR HYPERSPECTRAL IMAGE CLASSIFICATION |
Cheng-Hsuan Li; National Taichung University of Education |
Pei-Jyun Hsieh; National Taichung University of Education |
Bor-Chen Kuo; National Taichung University of Education |
MOP2.PE.7: A NEW TEXTURE FEATURE SET FOR ULTRA-HIGH RESOLUTION SAR IMAGES |
Wenjin Wu; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences |
Xinwu Li; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences |
Huadong Guo; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences |
Yue Fang; Beihang University |