TU1.L2: LIDAR Feature Extraction and Analysis

Session Type: Oral
Time: Tuesday, July 12, 08:20 - 10:00
Location: Room 311B
Session Chair: Yong Pang, Chinese Academy of Forestry
 
08:20 - 08:40
TU1.L2.1: STREETLAMP EXTRACTION AND IDENTIFICATION FROM MOBILE LIDAR POINT CLOUD SCENES
         Xitong Zhang; Henan Polytechnic University
         Huiyun Liu; Henan Polytechnic University
         Yongqiang Li; Henan Polytechnic University
         Zhenzhen Wu; Henan Polytechnic University
         Jie Mao; Henan Polytechnic University
         Yangyang Liu; Henan Polytechnic University
 
08:40 - 09:00
TU1.L2.2: AUTOMATED SEGMENTATION OF LIDAR POINT CLOUDS FOR BUILDING ROOFTOP EXTRACTION
         Yi Sun; Xiamen University; Xizang Minzu University
         Cheng Wang; Xiamen University
         Jonathan Li; Xiamen University;University of Waterloo
         Zongliang Zhang; Xiamen University
         Dawei Zai; Xiamen University
         Pengdi Huang; Xiamen University
         Chenglu Wen; Xiamen University
 
09:00 - 09:20
TU1.L2.3: LIDAR POINT CLASSIFICATION BASED ON JOINT SPARSE REPRESENTATION IN KERNEL SPACE
         Bingqian Xie; Harbin Institute of Technology
         Yanfeng Gu; Harbin Institute of Technology
         Qingwang Wang; Harbin Institute of Technology
         Huan Liu; Harbin Institute of Technology
 
09:20 - 09:40
TU1.L2.4: AN APPROACH TO CONIFER SPECIES CLASSIFICATION BASED ON CROWN STRUCTURE MODELING IN HIGH DENSITY AIRBORNE LIDAR DATA
         Aravind Harikumar; Fondazione Bruno Kessler
         Francesca Bovolo; Fondazione Bruno Kessler
         Lorenzo Bruzzone; University of Trento
 
09:40 - 10:00
TU1.L2.5: LIDAR INFORMATION EXTRACTION BY ATTRIBUTE FILTERS WITH PARTIAL RECONSTRUCTION
         Wenzhi Liao; Ghent University
         Mauro Dalla Mura; Grenoble Institute of Technology
         Xin Huang; Wuhan University
         Jocelyn Chanussot; Grenoble Institute of Technology
         Sidharta Gautama; Ghent University
         Paul Scheunders; University of Antwerp
         Wilfried Philips; Ghent University