WEP1.PI.8

HYBRID 2D-3D LOCAL-GLOBAL FEATURE FUSION FOR HYPERSPECTRAL IMAGE AND LIDAR DATA JOINT CLASSIFICATION

Yingrui Zhao, Shichao Zhou, Zhuowei Wang, Zekai Zhang, Beijing Information Science and Technology University, China

Session:
WEP1.PI: Advances in Hyperspectral Remote Sensing Image Classification and Their Applications in Agriculture, Forestry, and Wetlands II Poster

Track:
Community-Contributed Sessions

Location:
Poster Area

Presentation Time:
Wednesday, 6 August, 09:15 - 10:30

Presentation
Discussion
Resources
No resources available.
Session WEP1.PI
WEP1.PI.2: Object-based spectral library enabled spatio-spectral transfer learning approach for automatic mapping of vegetable crops in drone-based hyperspectral imagery
Harsha Chandra, Rama rao Nidamanuri, Indian Institute of Space Science and Technology, India
WEP1.PI.3: DISCRIMINATING VACHELLIA KARROO FROM COHABITING VEGETATION THROUGH SEASONAL DIFFERENCES USING IN-SITU HYPERSPECTRAL DATA AND SIMULATED SENTINEL-2 BANDS
Siphokazi Ruth Gcayi, Samuel Adelabu, University of the Free State, South Africa; Mcebisi Qabaqaba, University of Pretoria, South Africa; George Chirima, Agricultural Research Council, South Africa
WEP1.PI.4: A FIELD EXPERIMENTAL APPROACH TO HYPERSPECTRAL REMOTE SENSING FOR XYLENE AND TOLUENE SPILL MONITORING
Jae-Jin Park, Korea Research Institute of Ships & Ocean engineering (KRISO), Korea (South); Kyung-Ae Park, Seoul National University, Korea (South); Moonjin Lee, Tae-Sung Kim, Korea Research Institute of Ships & Ocean engineering (KRISO), Korea (South); Pierre-Yves Foucher, National Office for Aerospace Studies and Research (ONERA), France; Stephane Le Floch, Centre of Documentation, Research and Experimentation on Accidental Water Pollution (CEDRE), France
WEP1.PI.5: An adaptive sparse transformer with convolution mixer for Hyperspectral image classification
Zihan Chen, Miaomiao Liang, Weiwei Wu, Siyu Yang, Jiangxi University of Science and Technology, China; Zhe Meng, Xi'an University of Posts and Telecommunications, China; Lingjuan Yu, Jiangxi University of Science and Technology, China
WEP1.PI.7: HRRS-VRWKV: A NOVEL METHOD FOR HIGH-RESOLUTION REMOTE SENSING IMAGE SEMANTIC SEGMENTATION
Hangwei Zhong, Ying Shang, Jiangbo Huang, Tao Shen, Qingwang Wang, Kunming University of Science and Technology, China
WEP1.PI.8: HYBRID 2D-3D LOCAL-GLOBAL FEATURE FUSION FOR HYPERSPECTRAL IMAGE AND LIDAR DATA JOINT CLASSIFICATION
Yingrui Zhao, Shichao Zhou, Zhuowei Wang, Zekai Zhang, Beijing Information Science and Technology University, China
WEP1.PI.9: F2SNET: FREQUENCY FEATURE SIAMESE NETWORK FOR FEW-SHOT HYPERSPECTRAL IMAGE CLASSIFICATION
Kexu Li, Gang Liu, Min Dang, Xu Wang, Xidian University, China
WEP1.PI.10: The Lambda (λ1) by Lambda (λ2) methods and Techniques of modeling, and depicting thousands of hyperspectral vegetation indices (HVIs) and Hyperspectral Narrowbands (HNBs)
Prasad Thenkabail, Itiya Aneece, United States Geological Survey, United States; Pardhasaradhi Teluguntla, Bay Area Environmental Institute @ USGS, United States; Adam Oliphant, Daniel Foley, United States Geological Survey, United States
WEP1.PI.11: MAPPING INVASIVE TREE SPECIES WITH AIRBORNE HYPERSPECTRAL IMAGERY APPLYING DEEP MULTI-POSITIVE AND UNLABELED LEARNING
Yunning Peng, Ningjing Wang, Xinyu Wang, Yanfei Zhong, Wuhan University, China
Resources
No resources available.