TH4.L1: Image Classification II

Session Type: Oral
Time: Thursday, July 27, 16:20 - 18:00
Location: Ballroom B
Session Chairs: Qian Du, Mississippi State University and Fabio Del Frate, University of Rome Tor Vergata
 
16:20 - 16:40
TH4.L1.1: USING BAYESIAN OPTIMIZATION TO JOINTLY TUNE THE CLASSIFIER AND THE RANDOM FIELD FOR SPATIAL-SPECTRAL HYPERSPECTRAL CLASSIFICATION
         Utsav Gewali; Rochester Institute of Technology
         Sildomar Monteiro; Rochester Institute of Technology
 
16:40 - 17:00
TH4.L1.2: LARGE SCALE CROP CLASSIFICATION USING GOOGLE EARTH ENGINE PLATFORM
         Andrii Shelestov; Space Research Institute
         Mykola Lavreniuk; Space Research Institute
         Nataliia Kussul; Space Research Institute
         Alexei Novikov; National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”
         Sergii Skakun; University of Maryland
 
17:00 - 17:20
TH4.L1.3: SUPERPIXEL-BASED CLASSIFICATION USING SEMANTIC INFORMATION FOR POLARIMETRIC SAR IMAGERY
         Shuai Yang; China University of Geosciences, Wuhan
         Qianqian Zhang; State Bureau of Surveying and Mapping of China
         Xiaohui Yuan; University of North Texas
         Qihao Chen; China University of Geosciences, Wuhan
         Xiuguo Liu; China University of Geosciences, Wuhan
 
17:20 - 17:40
TH4.L1.4: MAXIMUM VARIANCE UNFOLDING BASED CO-LOCATION DECISION TREE FOR REMOTE SENSING IMAGE CLASSIFICATION
         Rongting Zhang; Tianjin University
         Guoqing Zhou; Guilin University of Technology
         Jingjin Huang; Tianjin University
         Xiang Zhou; Tianjin University
 
17:40 - 18:00
TH4.L1.5: DYNAMIC GRANULAR NEURAL NETWORKS FOR REMOTE SENSING IMAGE CLASSIFICATION
         Arun Kumar Dasari; Jawaharlal Nehru Technological University, Kakinada
         Padma Kumari K; Jawaharlal Nehru Technological University, Kakinada
         Saroj Kumar Meher; INDIAN STATISTICAL INSTITUTE BANGALORE CENTER