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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：北京大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Toward extending terrestrial laser scanning applications in forestry: a case study of broad- and needle-leaf tree classification 期刊论文 JOURNAL OF APPLIED REMOTE SENSING, 2017 Lin, Yi; Jiang, Miao 收藏  |  浏览/下载：6/0  |  提交时间：2017/12/03 tree classification  broad-leaf  needle-leaf  static terrestrial laser scanning  SPECIES CLASSIFICATION  STATIC TERRESTRIAL  INDIVIDUAL TREES  LIDAR  PARAMETERS  RESOLUTION  AIRBORNE  BIOMASS  REGION   TLS-bridged co-prediction of tree-level multifarious stem structure variables from worldview-2 panchromatic imagery: a case study of the boreal forest 期刊论文 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2017 Lin, Yi; Wei, Tian; Yang, Bin; Knyazikhin, Yuri; Zhang, Yuhu; Sato, Hisashi; Fang, Xing; Liang, Xinlian; Yan, Lei; Sun, Shanlin 收藏  |  浏览/下载：9/0  |  提交时间：2017/12/03 Tree stem structure variable (SSV)  WorldView-2 panchromatic image (WPI)  static terrestrial laser scanning (TLS)  allometric relationship  co-prediction model  TERRESTRIAL LASER SCANNER  SPECIES CLASSIFICATION  FEATURE PARAMETERS  ALLOMETRIC RELATIONSHIPS  BIOMASS ESTIMATION  INDIVIDUAL TREES  PINUS-SYLVESTRIS  SATELLITE IMAGES  STANDING TREES  CROWN HEIGHT   A comprehensive but efficient framework of proposing and validating feature parameters from airborne LiDAR data for tree species classification 期刊论文 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016 Lin, Yi; Hyyppa, Juha 收藏  |  浏览/下载：3/0  |  提交时间：2017/12/03 Tree species classification  LiDAR  Framework  Feature parameters  SVM classifier  LASER-SCANNING DATA  STATIC TERRESTRIAL  TEMPERATE FOREST  GROWTH  IMAGES  MANAGEMENT  VOLUME  STAND   Tree species classification based on explicit tree structure feature parameters derived from static terrestrial laser scanning data 期刊论文 AGRICULTURAL AND FOREST METEOROLOGY, 2016 Lin, Yi; Herold, Martin 收藏  |  浏览/下载：3/0  |  提交时间：2017/12/03 Tree species classification  Static terrestrial laser scanning (TLS)  Explicit tree structure feature parameters  Support vector machine (SVM) classifier  Leave-one-out-for-cross-validation (LOOCV)  SUPPORT VECTOR MACHINES  LIDAR DATA  MULTISPECTRAL IMAGERY  TEMPERATE FOREST  STANDING TREES  AIRBORNE LIDAR  TOPOGRAPHY  PROFILES  BIOMASS  FUSION   LiDAR: An important tool for next-generation phenotyping technology of high potential for plant phenomics? 期刊论文 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2015 Lin, Yi 收藏  |  浏览/下载：39/0  |  提交时间：2017/12/03 Plant phenomics  Light detection and ranging (LiDAR)  High-throughput phenotyping  Field phenotyping  Comprehensive phenotyping  Hyperspectral LiDAR  WAVE-FORM LIDAR  LEAF-AREA INDEX  TREE SPECIES CLASSIFICATION  SUPERCONTINUUM LASER SOURCE  PORTABLE SCANNING LIDAR  WHEAT NITROGEN STATUS  CHLOROPHYLL FLUORESCENCE  HYPERSPECTRAL LIDAR  AIRBORNE LIDAR  IN-VIVO