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17 条 记 录,以下是 1-17

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Compatible Biomass Model with Measurement Error Using Airborne LiDAR Data被引量:52收藏 分享
作者:Chen, Xingjing[1,2] Xie, Dongbo[1,2] Zhang, Zhuang[1,2] Sharma, Ram P.[3] Chen, Qiao[1,2]
机构:Chinese Acad Forestry;Natl Forestry & Grassland Adm;Tribhuwan Univ
来源:REMOTE SENSING  2023
关键词:airborne LiDAR   tree-components biomass   error-in-variable model   nonlinear seemingly unrelated regression  
Aboveground Biomass Prediction of Arid Shrub-Dominated Community Based on Airborne LiDAR through Parametric and Nonparametric Methods被引量:52收藏 分享
作者:Xie, Dongbo[1,2] Huang, Hongchao[1,2] Feng, Linyan[1,2] Sharma, Ram P.[3] Chen, Qiao[1]
机构:Chinese Acad Forestry;Natl Forestry & Grassland Adm;Tribhuwan Univeristy
来源:REMOTE SENSING  2023
关键词:aboveground biomass   LiDAR   shrub community   desert   nonparametric methods  
Estimating crown width in degraded forest: A two-level nonlinear mixed-effects crown width model for Dacrydium pierrEI and Podocarpus imbricatus in tropical China被引量:23收藏 分享
作者:Chen, Qiao[1,5] Duan, Guangshuang[2] Liu, Qingwang[1,4] Ye, Qiaolin[3] Sharma, Ram P.[4]
机构:Chinese Acad Forestry;Xinyang Normal Univ;Nanjing Forestry Univ;Tribhuwan Univ;NFGA
来源:FOREST ECOLOGY AND MANAGEMENT  2021
关键词:Dummy variable modeling   Empirical best linear unbiased prediction   Heteroscedasticity   Random effects   Response calibration   Variance function  
Robust discriminant feature selection via joint L-2,L-1-norm distance minimization and maximization被引量:22收藏 分享
作者:Yang, Zhangjing[1] Ye, Qiaolin[2,3] Chen, Qiao[4,5] Ma, Xu[2] Fu, Liyong[4,5]
机构:Nanjing Audit Univ;Nanjing Forestry Univ;Huaiyin Inst Technol;Chinese Acad Forestry;Natl Forestry & Grassland Adm
来源:KNOWLEDGE-BASED SYSTEMS  2020
关键词:Feature selection   L-2,L-1-norm   Discriminative Feature Selection   Robustness  
A climate sensitive mixed-effects diameter class mortality model for Prince Rupprecht larch (Larix gmelinii var. principis-rupprechtii) in northern China被引量:19收藏 分享
作者:Zhou, Xiao[1,2,3] Chen, Qiao[3] Sharma, Ram P.[4] Wang, Yihao[5] He, Peng[6]
机构:Cent South Univ Forestry & Technol;Shanxi Agr Univ;Chinese Acad Forestry;Tribhuwan Univ;Chongqing Normal Univ
来源:FOREST ECOLOGY AND MANAGEMENT  2021
关键词:Stand mortality   Basic model   Mixed-effects modeling   Climate change   Forest management  
Comparison of Modeling Algorithms for Forest Canopy Structures Based on UAV-LiDAR: A Case Study in Tropical China被引量:16收藏 分享
作者:Peng, Xi[1,2,3] Zhao, Anjiu[2] Chen, Yongfu[1,3] Chen, Qiao[1,3] Liu, Haodong[1,3]
机构:Chinese Acad Forestry;Sichuan Agr Univ;Natl Forestry & Grassland Adm;Southwest Forestry Univ
来源:FORESTS  2020
关键词:tropical forests   vertical structure   forest attributes   regression model   recursive feature elimination  
Tree HEIght Measurements in Degraded Tropical Forests Based on UAV-LiDAR Data of Different Point Cloud Densities: A Case Study on Dacrydium pierrEI in China被引量:12收藏 分享
作者:Peng, Xi[1,2,3] Zhao, Anjiu[2] Chen, Yongfu[1,3] Chen, Qiao[1,3] Liu, Haodong[1,3]
机构:Chinese Acad Forestry;Sichuan Agr Univ;Natl Forestry & Grassland Adm
来源:FORESTS  2021
关键词:degraded tropical forests   tree hEIght   UAV-LiDAR   point cloud density   Dacrydium pierrEI  
Analysis of the Spatial Differences in Canopy HEIght Models from UAV LiDAR and Photogrammetry被引量:12收藏 分享
作者:Liu, Qingwang[1,2] Fu, Liyong[1,3] Chen, Qiao[1] Wang, Guangxing[4] Luo, Peng[1]
机构:Chinese Acad Forestry;Natl Forestry & Grassland Adm;Natl Forestry & Grassland Adm;Southern Illinois Univ;Tribhuwan Univ
来源:REMOTE SENSING  2020
关键词:digital surface model   digital terrain model   canopy hEIght model   constrained nEIghbor interpolation   ordinary nEIghbor interpolation   point cloud density   stereo imagery  
Tree Recognition on the Plantation Using UAV Images with Ultrahigh Spatial Resolution in a Complex Environment被引量:12收藏 分享
作者:Guo, Xuzhan[1,2,3] Liu, Qingwang[1,3] Sharma, Ram P.[4] Chen, Qiao[1,3] Ye, Qiaolin[5]
机构:Chinese Acad Forestry;Xinyang Normal Univ;Natl Forestry & Grassland Adm;Tribhuwan Univ;Nanjing Forestry Univ
来源:REMOTE SENSING  2021
关键词:individual trees crown   multi-radius extraction   chromatic mapping   feature extraction   complex environment   spectral index  
Modelling of the biodiversity of tropical forests in China based on unmanned aerial vehicle multispectral and light detection and ranging data被引量:6收藏 分享
作者:Peng, Xi[1,2,3] Chen, Zhichao[2] Chen, Yongfu[1,3] Chen, Qiao[1,3] Liu, Haodong[1,3]
机构:Chinese Acad Forestry;Sichuan Agr Univ;Natl Forestry & Grassland Adm;Southwest Forestry Univ
来源:INTERNATIONAL JOURNAL OF REMOTE SENSING  2021
关键词:Aircraft detection - Antennas - Biodiversity - Conservation - Forecasting - Forestry - Learning algorithms - Light wEIght vehicles - Machine learning - Remote sensing - Textures - Tropics - Turing machines - Unmanned aerial vehicles (UAV)  
VrsNet- density map prediction network for individual tree detection and counting from UAV images被引量:4收藏 分享
作者:Luo, Taige[1] Gao, Wei[1] Belotserkovsky, Alexei[3] Nedzved, Alexander[4] Deng, Weijie[5]
机构:Nanjing Forestry Univ;Chinese Acad Forestry;Problems Natl Acad Sci Belarus;Belarusian State Univ;Nanjing Forestry Univ
来源:INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION  2024
关键词:Vegetation mapping   Remote sensing   Semi-supervised learning   Object detection   Tree segmentation   Tree counting   Density map  
YOLOTree-Individual Tree Spatial Positioning and Crown Volume Calculation Using UAV-RGB Imagery and LiDAR Data被引量:4收藏 分享
作者:Luo, Taige[1] Rao, Shuyu[1] Ma, Wenjun[2] Song, Qingyang[1] Cao, Zhaodong[1]
机构:Nanjing Forestry Univ;Chinese Acad Forestry;Chinese Acad Forestry;Tongji Univ
来源:FORESTS  2024
关键词:remote sensing   unmanned aerial vehicle   object detection   individual tree   crown volume   deep learning  
Tree Canopy Volume Extraction Fusing ALS and TLS Based on Improved PointNeXt被引量:2收藏 分享
作者:Sun, Hao[1,2] Ye, Qiaolin[1,2] Chen, Qiao[3] Fu, Liyong[3,4] Xu, Zhongqi[4]
机构:Nanjing Forestry Univ;Nanjing Forestry Univ;Chinese Acad Forestry;Hebei Agr Univ
来源:REMOTE SENSING  2024
关键词:3D point cloud   deep learning   canopy volume   segmentation   PointNeXt   gaps  
LiDAR单木分割辅助的无人机影像CNN+EL树种识别被引量:0收藏 分享
作者:徐志扬[1,2] 陈巧[1,3] 陈永富[1,3]
机构:中国林业科学研究院资源信息研究所;国家林业和草原局华东调查规划院;国家林业和草原局林业遥感与信息技术重点实验室
来源:《农业机械学报》  2022
关键词:树种识别  无人机影像  无人机激光雷达  卷积神经网络  集成学习  
摘要:为研究激光雷达单木分割辅助条件下无人机可见光图像树种识别应用潜力,提出联合卷积神经网络(CNN)和集成学习(EL)的树种识别方法。首先利用同期无人机激光雷达数据和可见光影像数据进行单木树冠探测并制作单木树冠影像数据集;其...
其他来源数据库:万方期刊数据库同方期刊数据库
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基于机载LiDAR数据的崇礼冬奥核心区树冠覆盖率估算被引量:0收藏 分享
作者:谢栋博[1,2,3] 雷雅凯[3] 张宇超[4] 刘清旺[1,5] 符利勇[1,2]
机构:中国林业科学研究院资源信息研究所;国家林业和草原局森林经营与生长模拟重点实验室;河南农业大学风景园林与艺术学院;国家林业和草原局林草调查规划院;国家林业和草原局林业遥感与信息技术重点实验室
来源:《林业科学》  2022
关键词:激光雷达  树冠覆盖率  冬奥  归一化点云  首次回波  冠层高度模型  
摘要:【目的】对比分析基于归一化点云分类信息、归一化点云首次回波和冠层高度模型3种算法估算冬奥核心区森林树冠覆盖率的优劣性,探讨样地树冠覆盖率、激光点云密度和冠层高度模型(CHM)栅格分辨率对估算精度的影响,探索最优树冠覆盖率...
其他来源数据库:万方期刊数据库同方期刊数据库
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基于无人机高分辨率影像的油松新造林健康树冠提取被引量:0收藏 分享
作者:郭旭展[1,2,3] 陈巧[1,3] 张晓芳[1,3] 洪亮[1,3,4] 尤媛媛[5]
机构:中国林业科学研究院资源信息研究所;信阳师范学院计算机与信息技术学院;国家林业和草原局森林经营与生长模拟重点实验室;信阳师范学院数学与统计学院;河北省张家口市崇礼区林业和草原局
来源:《林业科学》  2022
关键词:无人机影像  同态滤波  光谱指数  形态学滤波  随机森林  
摘要:【目的】基于新造林健康树冠的光谱特征和空间交错情况,探讨复杂地面植被条件下健康树冠的光谱增强方式和多尺度分割阈值,为造林核查的日常监测工作提供技术支撑。【方法】以冬奥核心区新造林地无人机航拍影像为试验数据,首先,基于健康...
其他来源数据库:万方期刊数据库同方期刊数据库
下载全文在线阅读
MDC-FusFormer: Multiscale Deep Cross-Fusion Transformer Network for Hyperspectral and Multispectral Image Fusion被引量:0收藏 分享
作者:Sun, Le[1,2] Zhou, Jianxiao[1] Ye, Qiaolin[3] Wu, Zebin[4] Chen, Qiao[5,6]
机构:Nanjing Univ Informat Sci & Technol;Nanjing Univ Informat Sci & Technol;Nanjing Forestry Univ;Nanjing Univ Sci & Technol;Chinese Acad Forestry
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2024
关键词:Convolutional neural network (CNN)   cross-attention mechanism   hyperspectral and multispectral image fusion   transformer  
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