TUP.P38: Remote Sensing Images Classification

Session Type: Poster
Time: Tuesday, July 12, 17:20 - 19:00
Location: Third Floor, South Hall, Poster Area
Session Chairs: Zhaohui Xue, National Administration of Surveying, Mapping and Geoinformation, China and Hongjun Su, Hohai University
 
TUP.P38.203: A HEURISTIC APPROACH TO LEARNING NEW GRAPH STRUCTURES FOR REMOTE SENSING IMAGES
         Brian Salmon; University of Tasmania
         Waldo Kleynhans; Council for Scientific and Industrial Research
         Jan Olivier; University of Tasmania
         Colin Peter Schwegmann; Council for Scientific and Industrial Research
 
TUP.P38.204: TRI_TRAINING FOR REMOTE SENSING CLASSIFICATION BASED ON MULTI-SCALE HOMOGENEITY
         Jishuai Zhu; China University of Mining and Technology
         Kun Tan; China University of Mining and Technology
         Qian Du; Mississippi State University
 
TUP.P38.205: BI-LAYER DICTIONARY LEARNING FOR REMOTE SENSING IMAGE CLASSIFICATION
         Michael Ying Yang; ITC-Univerisity of Twente
         Saif Al-Shaikhli; Leibniz University Hanover
         Tao Jiang; Leibniz University Hanover
         Yanpeng Cao; Zhejiang University
         Bodo Rosenhahn; Leibniz University Hanover
 
TUP.P38.206: IMPROVED GAUSSIAN MIXTURE MODEL WITH EXPECTATION-MAXIMIZATION FOR CLUSTERING OF REMOTE SENSING IMAGERY
         Victor-Emil Neagoe; Politehnica University of Bucharest
         Vlad Chirila-Berbentea; Politehnica University of Bucharest
 
TUP.P38.207: JOINT COLLABORATIVE REPRESENTATION FOR POLARIMETRIC SAR IMAGE CLASSIFICATION
         Jie Geng; Dalian University of Technology
         Jianchao Fan; National Marine Environmental Monitoring Center
         Hongyu Wang; Dalian University of Technology
         Anyan Fu; Dalian University of Technology
         Yuanyuan Hu; Dalian University of Technology
 
TUP.P38.208: TWO-LEVEL ACTIVE LEARNING METHOD FOR DEBRIS DETECTION USING VHR SATELLITE IMAGERY AND LOCAL AERIAL SURVEYS
         Zhihua Xu; Beijing Normal University
         Persello Claudio; University of Twente
         Mengmeng Li; University of Twente
         Lixin Wu; China University of Mining and Technology
         Pengtianhao Wu; Beijing Normal University