TU1.L5: Change Detection in VHR Images

Session Type: Oral
Time: Tuesday, July 25, 08:00 - 09:40
Location: Room 203 BC
Session Chairs: Lori Mann Bruce, Mississippi State University and Mauro Dalla Mura, Grenoble Institute of Technology
 
08:00 - 08:20
TU1.L5.1: CHANGE DETECTION BASED ON STRUCTURAL CONDITIONAL RANDOM FIELD FRAMEWORK FOR HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGERY
         Pengyuan Lv; Wuhan University
         Yanfei Zhong; Wuhan University
         Ji Zhao; Wuhan University
         Ailong Ma; Wuhan University
         Liangpei Zhang; Wuhan University
 
08:20 - 08:40
TU1.L5.2: SEMI-SUPERVISED DEEP GENERATIVE MODELS FOR CHANGE DETECTION IN VERY HIGH RESOLUTION IMAGERY
         Clayton Connors; North Carolina State University
         Ranga Vatsavai; North Carolina State University
 
08:40 - 09:00
TU1.L5.3: EFFECT OF THE DTM QUALITY ON THE BUNDLE BLOCK ADJUSTMENT AND ORTHORECTIFICATION PROCESS WITHOUT GCP: EXEMPLE ON A STEEP AREA
         Cyrielle Guerin; CEA (Commissariat à l'énergie atomique et aux énergies renouvelables)
 
09:00 - 09:20
TU1.L5.4: A CFAR OPTIMIZATION FOR LOW FREQUENCY UWB SAR CHANGE DETECTION ALGORITHMS
         Ana Carolina Fabrin; Federal University of Santa Maria
         Ricardo Molin Jr.; Federal University of Santa Maria
         Dimas Irion Alves; Federal University of Paraná – UFPR
         Renato Machado; Federal University of Santa Maria
         Fábio Bayer; Federal University of Santa Maria
         Mats I. Pettersson; Blekinge Institute of Technology
 
09:20 - 09:40
TU1.L5.5: A COMPARISON OF SEPARATE SEGMENTATION STRATEGIES TO REVEAL GEOMETRIC CHANGES OF BUILDINGS IN URBAN AREA
         Xueliang Zhang; Nanjing University
         Pengfeng Xiao; Nanjing University
         Xuezhi Feng; Nanjing University