MO3.W1: Estimation and Regression Techniques

Session Type: Oral
Time: Monday, July 27, 13:30 - 15:10
Location: White 1
Session Chairs: Jose Bioucas-Dias, Telecommunications Institute, Instituto Superior Tecnico and Björn Waske, Freie Universität Berlin
 
MO3.W1.1: MULTI-ANGLE APPROACH FOR COHERENT RETRIEVAL OF SURFACE REFLECTANCE AND AEROSOL OPTICAL DEPTH FROM CRISM OBSERVATIONS
         Sylvain Douté; Université Grenoble Alpes
         Xavier Ceamanos; ONERA, The French Aerospace Lab
 
MO3.W1.2: ESTIMATION THEORETIC METHODS FOR CUBESAT DATA INTERPOLATION IN THE PRESENCE OF GEOLOCATION ERRORS
         Weitong Ruan; Tufts University
         Adam Milstein; MIT Lincoln Laboratory
         William Blackwell; MIT Lincoln Laboratory
         Eric L. Miller; Tufts University
 
MO3.W1.3: SEMI-SUPERVISED HYPERSPECTRAL MANIFOLD LEARNING FOR REGRESSION
         Kuniaki Uto; Tokyo Institute of Technology
         Yukio Kosugi; Tokyo Institute of Technology
         Genya Saito; Tokyo Institute of Technology
 
MO3.W1.4: BIOPHYSICAL PARAMETER RETRIEVAL WITH WARPED GAUSSIAN PROCESSES
         Jordi Muñoz-Marí; Universitat de València
         Jochem Verrelst; Universitat de València
         Miguel Lázaro-Gredilla; Vicarious.com
         Gustau Camps-Valls; Universitat de València
 
MO3.W1.5: LARGE-SCALE RANDOM FEATURES FOR KERNEL REGRESSION
         Valero Laparra; Universitat de València
         Diego Marcos Gonzalez; University of Zurich
         Devis Tuia; University of Zurich
         Gustau Camps-Valls; Universitat de València