TUP1.PG: Spectral-Spatial Approaches in Hyperspectral Remote Sensing

Session Type: Poster
Time: Tuesday, July 24, 10:10 - 11:10
Location: Poster Area G
Session Chairs: Gemine Vivone, University of Salerno and Mathieu Fauvel, National Polytechnic Institute of Toulouse
 
TUP1.PG.1: HYPERSPECTRAL CLASSIFICATION VIA SPATIAL CONTEXT EXPLORATION WITH MULTI-SCALE CNN
         Zhongqi Tian; Northwestern Polytechnical University
         Jingyu Ji; Northwestern Polytechnical University
         Shaohui Mei; Northwestern Polytechnical University
         Junhui Hou; City University of Hong Kong
         Shuai Wan; Northwestern Polytechnical University
         Qian Du; Mississippi State University
 
TUP1.PG.2: HYPERSPECTRAL CLASSIFICATION BASED ON SIAMESE NEURAL NETWORK USING SPECTRAL-SPATIAL FEATURE
         Shizhi Zhao; Beijing University of Chemical Technology
         Wei Li; Beijing University of Chemical Technology
         Qian Du; Mississippi State University
         Qiong Ran; Beijing University of Chemical Technology
 
TUP1.PG.3: SVM FOR UNSUPERVISED SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL IMAGES
         Rafika Ben Salem; INSAT-TUNISIA
         Karim Saheb Ettabaa; Laboratory ITI, Telecom Bretagne Brest Iroise Technopole CS 81828
         Zouhaier Ben Rabeh; Laboratory for research in computer Arabized and integrated documentation, National School of Computer Sciences, Tunis, Tunisia.
 
TUP1.PG.4: SUPERPIXEL BASED DIMENSION REDUCTION FOR HYPERSPECTRAL IMAGERY
         Huilin Xu; Wuhan University
         Hongyan Zhang; Wuhan University
         Wei He; RIKEN AIP
         Liangpei Zhang; Wuhan University
 
TUP1.PG.5: A NOVEL GRAPH BASED LABEL PROPAGATION METHOD FOR HYPERSPECTRAL REMOTE SENSING DATA CLASSIFICATION
         Xiaopan Wang; Chongqing Geomatics Center
         Yan Hu; Chongqing Geomatics Center
         Shaojia Zhang; Chongqing Geomatics Center
 
TUP1.PG.6: ROLLING GUIDANCE RECURSIVE FILTERING-BASED MULTIPLE KERNEL LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Binge Cui; The College of Computer Science and Engineering, Shandong University of Science and Technology
         Liwei Zhong; The College of Computer Science and Engineering, Shandong University of Science and Technology
         Yong Zhong; The College of Computer Science and Engineering, Shandong University of Science and Technology
 
TUP1.PG.7: ACTIVE MANIFOLD LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Zhou Zhang; University of California
         Gulsen Taskin; Istanbul Technical University
         Melba Crawford; Purdue University
 
TUP1.PG.8: MULTISCALE SPECTRAL-SPATIAL HYPERSPECTRAL IMAGE CLASSIFICATION WITH ADAPTIVE FILTERING
         Sifan Wu; Harbin Institute of Technology
         Junping Zhang; Harbin Institute of Technology
         Chunyu Shi; Remote Sensing Information Institute of Beijing
         Weike Li; Harbin Institute of Technology
 
TUP1.PG.9: DUAL-CHANNEL DENSENET FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Gefei Yang; Rochester Institute of Technology
         Utsav Gewali; Rochester Institute of Technology
         Emmett Ientilucci; Rochester Institute of Technology
         Micheal Gartley; Rochester Institute of Technology
         Sildomar Monteiro; Rochester Institute of Technology