International Cooperation for Global Awareness

2017 IEEE International Geoscience and Remote Sensing Symposium

July 23–28, 2017

Fort Worth, Texas, USA

2017 IEEE International Geoscience and Remote Sensing Symposium

July 23–28, 2017

Fort Worth, Texas, USA

2017 IEEE International Geoscience and Remote Sensing Symposium

July 23–28, 2017

Fort Worth, Texas, USA

International Cooperation for Global Awareness

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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

TU2.L5.1: HYBRID ANALYSIS FOR SAR CHANGE DETECTION BASED ON TIME SERIES DATA

Keng-Fan Lin; Purdue University

Daniele Perissin; Purdue University

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

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

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

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