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MO3.L5: Change Detection in Hyperspectral and Multispectral Images I

Session Type: Oral
Time: Monday, July 24, 13:40 - 15:20
Location: Room 203 BC
Session Chairs: Francesca Bovolo, Fondazione Bruno Kessler and Sicong Liu, Tongji University
 
  MO3.L5.1: CHANGE DETECTION IN HYPERSPECTRAL IMAGERY BASED ON SPECTRALLY-SPATIALLY REGULARIZED LOW-RANK MATRIX DECOMPOSITION
         Zhao Chen; Donghua University
         Bin Yang; Fudan University
         Bin Wang; Fudan University
         Guohua Liu; Donghua University
         Wei Xia; China Transport Telecommunications & Information Center
 
  MO3.L5.2: A NOVEL CHANGE DETECTION METHOD FOR MULTITEMPORAL HYPERSPECTRAL IMAGES BASED ON A DISCRETE REPRESENTATION OF THE CHANGE INFORMATION
         Daniele Marinelli; University of Trento
         Francesca Bovolo; Fondazione Bruno Kessler
         Lorenzo Bruzzone; University of Trento
 
  MO3.L5.3: MONITORING DEFORESTATION AND FOREST DEGRADATION USING MULTI-TEMPORAL FRACTION IMAGES DERIVED FROM LANDSAT SENSOR DATA IN THE BRAZILIAN AMAZON
         Yosio Edemir Shimabukuro; Instituto Nacional de Pesquisas Espaciais
         Egidio Arai; Instituto Nacional de Pesquisas Espaciais
         Erone Ghizoni dos Santos; Instituto Nacional de Pesquisas Espaciais
         Anderson Jorge; Instituto Nacional de Pesquisas Espaciais
 
  MO3.L5.4: A SPECTRAL-SPATIAL MULTISCALE APPROACH FOR UNSUPERVISED MULTIPLE CHANGE DETECTION
         Sicong Liu; Tongji University
         Qian Du; Mississippi State University
         Xiaohua Tong; Tongji University
         Alim Samat; Chinese Academy of Sciences
         Lorenzo Bruzzone; University of Trento
         Francesca Bovolo; Fondazione Bruno Kessler
 
  MO3.L5.5: A NOVEL SEMISUPERVISED FRAMEWORK FOR MULTIPLE CHANGE DETECTION IN HYPERSPECTRAL IMAGES
         Sicong Liu; Tongji University
         Xiaohua Tong; Tongji University
         Lorenzo Bruzzone; University of Trento
         Peijun Du; Nanjing University
 
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