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 |