Technical Program: Paper Detail || IEEE IGARSS 2023 || Pasadena, California, USA || 16

TH2.R12.3

TREE SPECIES CLASSIFICATION OF POINT CLOUDS FROM DIFFERENT LASER SENSORS USING THE POINTNET++ DEEP LEARNING METHOD

Bingjie Liu, Huaguo Huang, Beijing Forestry University, China; Shuxin Chen, Xin Tian, Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, China; Min Ren, China Mobile Group Shanxi Design Institute Co., Ltd., China

Session:

TH2.R12: Remote Sensing for Coastal SustaInability II Oral

Location:

Room 102

Presentation Time:

Thu, 20 Jul, 10:39 - 10:51 Pacific Time (UTC -8)

Session Co-Chairs:

Hua Su, Fuzhou University and Hongsheng Zhang, University of Hong Kong (HKU)

Session Manager:

Varsha Bhosale

Session TH2.R12

TH2.R12.1: DIGITAL AERIAL PHOTOGRAMMETRY CAN ENHANCE MONITORING EFFICIENCY OF URBAN FOREST CHANGES IN HONG KONG

Ivan H. Y. Kwong, Frankie K. K. Wong, Tung Fung, The Chinese University of Hong Kong, Hong Kong SAR China

TH2.R12.2: USING SENTINEL-2 AND STACKING REGRESSORS FOR FOREST HEIGHT ESTIMATION

João E. Pereira-Pires, School of Science and Technology, NOVA University of Lisbon, Portugal; João M. N. Silva, School of Agriculture, University of Lisbon, Portugal; André Mora, José M. Fonseca, School of Science and Technology, NOVA University of Lisbon, Portugal

TH2.R12.3: TREE SPECIES CLASSIFICATION OF POINT CLOUDS FROM DIFFERENT LASER SENSORS USING THE POINTNET++ DEEP LEARNING METHOD

TH2.R12.4: INVASIVE SPECIES REDUCE FUNCTIONAL BUT NOT SPECIES DIVERSITY OF A NATIVE MANGROVE COMMUNITY IN HONG KONG: INSIGHTS FROM AIRBORNE LIDAR DATA

Ka Hei Anson Yip, Hongsheng Zhang, The University of Hong Kong, Hong Kong SAR China

TH2.R12.5: MULTIMODAL CONTRASTIVE LEARNING FOR URBAN LAND COVER CLASSIFICATION

Rui Liu, Hongsheng Zhang, Jing Ling, The University of Hong Kong, Hong Kong SAR China