TUP1.PG: Spectral-Spatial Approaches in Hyperspectral Remote Sensing |
Session Type: Poster
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Time: Tuesday, July 24, 10:10 - 11:10
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Location: Poster Area G
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Session Chairs: Gemine Vivone, University of Salerno and Mathieu Fauvel, National Polytechnic Institute of Toulouse
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TUP1.PG.1: HYPERSPECTRAL CLASSIFICATION VIA SPATIAL CONTEXT EXPLORATION WITH MULTI-SCALE CNN
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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 |
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TUP1.PG.2: HYPERSPECTRAL CLASSIFICATION BASED ON SIAMESE NEURAL NETWORK USING SPECTRAL-SPATIAL FEATURE
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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 |
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TUP1.PG.3: SVM FOR UNSUPERVISED SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL IMAGES
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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. |
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TUP1.PG.4: SUPERPIXEL BASED DIMENSION REDUCTION FOR HYPERSPECTRAL IMAGERY
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Huilin Xu; Wuhan University |
Hongyan Zhang; Wuhan University |
Wei He; RIKEN AIP |
Liangpei Zhang; Wuhan University |
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TUP1.PG.5: A NOVEL GRAPH BASED LABEL PROPAGATION METHOD FOR HYPERSPECTRAL REMOTE SENSING DATA CLASSIFICATION
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Xiaopan Wang; Chongqing Geomatics Center |
Yan Hu; Chongqing Geomatics Center |
Shaojia Zhang; Chongqing Geomatics Center |
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TUP1.PG.6: ROLLING GUIDANCE RECURSIVE FILTERING-BASED MULTIPLE KERNEL LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
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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 |
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TUP1.PG.7: ACTIVE MANIFOLD LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
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Zhou Zhang; University of California |
Gulsen Taskin; Istanbul Technical University |
Melba Crawford; Purdue University |
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TUP1.PG.8: MULTISCALE SPECTRAL-SPATIAL HYPERSPECTRAL IMAGE CLASSIFICATION WITH ADAPTIVE FILTERING
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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 |
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TUP1.PG.9: DUAL-CHANNEL DENSENET FOR HYPERSPECTRAL IMAGE CLASSIFICATION
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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 |
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