WE1.T06: Spectral Unmixing

Session Type: Oral
Time: Wednesday, July 24, 08:20 - 10:00
Location: Room 110
Session Chair: Ling Ding, Institute of Remote Sensing and Digital Earth, CAS
 
[View Video] WE1.T06.1: PERFORMANCES OF TEMPERATURE AND EMISSIVITY SEPARATION METHODS FOR HYPERSPECTRAL THERMAL DATA AFFECTED BY THE CHANGES OF SPECTRAL PROPERTIES OF SENSOR
         Ning Wang; Academy of Opto-Electronics, Chinese Academy of Sciences
         Yong-Gang Qian; Academy of Opto-Electronics, Chinese Academy of Sciences
         Hua Wu; Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences
         Lingling Ma; Academy of Opto-Electronics, Chinese Academy of Sciences
         Zhao-Liang Li; Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences
         Lingli Tang; Academy of Opto-Electronics, Chinese Academy of Sciences
 
[View Video] WE1.T06.2: DISTRIBUTED ALGORITHMS FOR UNMIXING HYPERSPECTRAL DATA USING NONNEGATIVE MATRIX FACTORIZATION WITH SPARSITY CONSTRAINTS
         Stefan Robila; Montclair State University
         Daniel Ricart; Montclair State University
 
[View Video] WE1.T06.3: SMOOTH SPECTRAL UNMIXING USING TOTAL VARIATION REGULARIZATION AND A FIRST ORDER ROUGHNESS PENALTY
         Jakob Sigurdsson; University of Iceland
         Magnus O. Ulfarsson; University of Iceland
         Johannes R. Sveinsson; University of Iceland
         Jon Atli Benediktsson; University of Iceland
 
[View Video] WE1.T06.4: SIMULTANEOUS BAND-WEIGHTING AND SPECTRAL UNMIXING FOR MULTIPLE ENDMEMBER SETS
         Piyush Khopkar; University of Missouri
         Alina Zare; University of Missouri
 
[View Video] WE1.T06.5: NONLINEAR SPECTRAL UNMIXING USING MANIFOLD LEARNING
         Ling Ding; Institute of Remote Sensing Applications, Chinese Academy of Sciences
         Ping Tang; Institute of Remote Sensing Applications, Chinese Academy of Sciences
         Hongyi Li; Institute of Remote Sensing Applications, Chinese Academy of Sciences