WEP1.PI.12
DEVELOPMENT OF A SPECTRAL LIBRARY FOR SOYABEAN LEAF DISEASE AND DEEP LEARNING CLASSIFICATION ALGORITHM USING HYPERSPECTRAL DATA
Moumita Das, Shivajirao Kadam Institute of Technology and Management, India; Saurabh Das, Indian Institute of Technology Indore, India
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.1: EARLY DETECTION OF PINE WILT DISEASE INFESTATIONS BY REMOTE SENSING IN CHINA
Linfeng Yu, Institute of Forest Resource Information Techniques CAF, China; Run Yu, Shixiang Zong, Lili Ren, Youqing Luo, Beijing Forestry University, China; Xianlin Qin, Institute of Forest Resource Information Techniques CAF, China
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.6: IMPROVEMENT ON THE HAPKE MODEL THROUGH PARAMETRIZATION ACCORDING TO SOIL PARTICLE SIZES AND ORGANIC MATTER CONTENT
Lixia Ma, Dongsheng Yu, Xianzhang Pan, Institute of Soil Science, Chinese Academy of Sciences, China; Weimin Ju, Nanjing University, 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
WEP1.PI.12: DEVELOPMENT OF A SPECTRAL LIBRARY FOR SOYABEAN LEAF DISEASE AND DEEP LEARNING CLASSIFICATION ALGORITHM USING HYPERSPECTRAL DATA
Moumita Das, Shivajirao Kadam Institute of Technology and Management, India; Saurabh Das, Indian Institute of Technology Indore, India
Resources
No resources available.