Hyperspectral tree species classification with an aid of lidar data

被引：0
|
作者：
Matsuki, Tomohiro [1 ]
Yokoya, Naoto [2 ]
Iwasaki, Akira [2 ]
机构：
[1] Department of Aeronautics and Astronautics, University of Tokyo, Japan
[2] Research Center for Advanced Science and Technology, University of Tokyo, Japan
来源：
Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing | 2014年 / 2014-June卷
关键词：
716.1 Information Theory and Signal Processing - 716.2 Radar Systems and Equipment - 723 Computer Software; Data Handling and Applications - 723.2 Data Processing and Image Processing - 741.3 Optical Devices and Systems - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 903.1 Information Sources and Analysis;
D O I：
8077510
中图分类号：
学科分类号：
摘要：
6
引用
收藏
相关论文
共 50 条
  • [41] Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data
    Dalponte, Michele
    Orka, Hans Ole
    Ene, Liviu Theodor
    Gobakken, Terje
    Naesset, Erik
    REMOTE SENSING OF ENVIRONMENT, 2014, 140 : 306 - 317
  • [42] Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data
    Maschler, Julia
    Atzberger, Clement
    Immitzer, Markus
    REMOTE SENSING, 2018, 10 (08)
  • [43] Classification of Expansive Grassland Species in Different Growth Stages Based on Hyperspectral and LiDAR Data
    Marcinkowska-Ochtyra, Adriana
    Jarocinska, Anna
    Bzdega, Katarzyna
    Tokarska-Guzik, Barbara
    REMOTE SENSING, 2018, 10 (12)
  • [44] A Review of Tree Species Classification Based on Airborne LiDAR Data and Applied Classifiers
    Michalowska, Maja
    Rapinski, Jacek
    REMOTE SENSING, 2021, 13 (03) : 1 - 27
  • [45] WEIGHTED SUPPORT VECTOR MACHINES FOR TREE SPECIES CLASSIFICATION USING LIDAR DATA
    Hoang Minh Nguyen
    Demir, Beguem
    Dalponte, Michele
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 6740 - 6743
  • [46] TERRAIN AND CANOPY SURFACE MODELLING FROM LIDAR DATA FOR TREE SPECIES CLASSIFICATION
    Zhang, Zhenyu
    Liu, Xiaoye
    Peterson, Jim
    Wright, Wendy
    GIS OSTRAVA 2012: SURFACE MODELS FOR GEOSCIENCES, 2012, : 299 - 311
  • [47] TREE SPECIES CLASSIFICATION USING AIRBORNE HYPERSPECTRAL DATA IN SUBTROPICAL MOUNTAINOUS FOREST
    Jia, Wen
    Pang, Yong
    Meng, Shili
    Ju, Hongbo
    Li, Zengyuan
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 2284 - 2287
  • [48] Unsupervised Selection of Training Samples for Tree Species Classification Using Hyperspectral Data
    Dalponte, Michele
    Ene, Liviu Theodor
    Orka, Hans Ole
    Gobakken, Terje
    Naesset, Erik
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (08) : 3560 - 3569
  • [49] Using UAV LiDAR Intensity Frequency and Hyperspectral Features to Improve the Accuracy of Urban Tree Species Classification
    Gong, Yulin
    Zhu, Di'en
    Li, Xuejian
    Lv, Lujin
    Zhang, Bo
    Xuan, Jie
    Du, Huaqiang
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 : 2849 - 2865
  • [50] OPTIMIZED FEATURE FUSION OF LIDAR AND HYPERSPECTRAL DATA FOR TREE SPECIES MAPPING IN CLOSED FOREST CANOPIES
    Van Coillie, F. M. B.
    Liao, W.
    Kempeneers, P.
    Vandekerkhove, K.
    Gautama, S.
    Philips, W.
    De Wulf, R. R.
    2015 7TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2015,
12345