TU1.T06: Hyperspectral Classification I

Session Type: Oral
Time: Tuesday, July 23, 08:20 - 10:00
Location: Room 110
Session Chairs: Alina Zare, University of Missouri and Jenny Du, Mississippi State University
 
[View Video] TU1.T06.1: A NOVEL ENDMEMBER EXTRACTION METHOD USING MODIFIED MAXIMUM SPECTRAL SCREENING
         Hongjun Su; Hohai University
         Peijun Du; Nanjing University
         Qian Du; Mississippi State University
 
[View Video] TU1.T06.2: SUPERVISED HYPERSPECTRAL IMAGE CLASSIFICATION USING SPARSE LOGISTIC REGRESSION AND SPATIAL-TV REGULARIZATION
         Le Sun; Nanjing University of Science and Technology
         Zebin Wu; Nanjing University of Science and Technology
         Jianjun Liu; Nanjing University of Science and Technology
         Zhihui Wei; Nanjing University of Science and Technology
 
[View Video] TU1.T06.3: HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON ITERATIVE SUPPORT VECTOR MACHINE BY INTEGRATING SPATIAL-SPECTRAL INFORMATION
         Belkacem Baassou; Northwestern Polytechnical University
         He Mingyi; Northwestern Polytechnical University
         Muhammad Imran Farid; Northwestern Polytechnical University
         Mei Shaohui; Northwestern Polytechnical University
 
[View Video] TU1.T06.4: LAPLACIAN SUPPORT VECTOR MACHINE FOR HYPERSPECTRAL IMAGE CLASSIFICATION BY USING MANIFOLD LEARNING ALGORITHMS
         Xiaopan Wang; China University of Geosciences
         Li Ma; China University of Geosciences
         Fujiang Liu; China University of Geosciences
 
[View Video] TU1.T06.5: A NEW APPROACH FOR ACCURATE CLASSIFICATION OF HYPERSPECTRAL IMAGES USING VIRTUAL SAMPLE GENERATION BY CONCURRENT SELF-ORGANIZING MAPS
         Victor-Emil Neagoe; Polytechnic University of Bucharest
         Adrian-Dumitru Ciotec; Polytechnic University of Bucharest