TU2.L5: Change Detection and Analysis of Image Time Series: Techniques

Session Type: Oral
Time: Tuesday, July 25, 10:40 - 12:20
Location: Room 203 BC
Session Chairs: Lorenzo Bruzzone, University of Trento and Othmar Frey, Gamma Remote Sensing / ETH Zurich
 
10:40 - 11:00
TU2.L5.1: HYBRID ANALYSIS FOR SAR CHANGE DETECTION BASED ON TIME SERIES DATA
         Keng-Fan Lin; Purdue University
         Daniele Perissin; Purdue University
 
11:00 - 11:20
TU2.L5.2: SAR IMAGE TEXTURE TRACKING USING A POINTWISE GRAPH-BASED MODEL FOR GLACIER DISPLACEMENT MEASUREMENT
         Minh-Tan Pham; Université Bretagne Sud
         Grégoire Mercier; TELECOM Bretagne
         Emmanuel Trouvé; Polytech'Annecy-Chambéry
         Sébastien Lefèvre; Université Bretagne Sud
 
11:20 - 11:40
TU2.L5.3: A NOVEL FRAMEWORK FOR BI-TEMPORAL CHANGE DETECTION IN IMAGE TIME SERIES
         Manuel Bertoluzza; University of Trento
         Lorenzo Bruzzone; University of Trento
         Francesca Bovolo; Fondazione Bruno Kessler
 
11:40 - 12:00
TU2.L5.4: ESTIMATION OF DYNAMIC PARAMETERS OF MODIS NDVI TIME SERIES NONLINEAR MODEL USING PARTICLE FILTERING
         Srija Chakraborty; Arizona State University
         Ayan Banerjee; Arizona State University
         Sandeep Gupta; Arizona State University
         Antonia Papandreou-Suppappola; Arizona State University
         Philip Christensen; Arizona State University
 
12:00 - 12:20
TU2.L5.5: LANDSLIDE CHANGE DETECTION BASED ON SPATIO-TEMPORAL CONTEXT
         Qingqing Huang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Yu Meng; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Jingbo Chen; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Anzhi Yue; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Lei Lin; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences