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108 条 记 录,以下是 1-30

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Classification of Land Cover, Forest, and Tree Species Classes with ZiYuan-3 Multispectral and Stereo Data被引量:107收藏 分享
作者:Xie, Zhuli[1,2] Chen, Yaoliang[3,4] Lu, Dengsheng[1,2] Li, Guiying[3,4] Chen, Erxue[5]
机构:Zhejiang A&F Univ;Zhejiang A&F Univ;Fujian Normal Univ;Fujian Normal Univ;Chinese Acad Forestry
来源:REMOTE SENSING  2019
关键词:tree species   classification   ZiYuan-3   stereo image   machine learning  
利用机载激光雷达数据提取单株木树高和树冠被引量:98收藏 分享
作者:刘清旺[1] 李增元[1] 陈尔学[1] 庞勇[1] 武红敢[1]
机构:中国林业科学研究院资源信息研究所
来源:《北京林业大学学报》  2008
关键词:激光雷达  激光应用  单株木  树高  树冠  双正切角树冠识别算法  
摘要:机载激光雷达是一种主动遥感技术。在林业应用方面,高采样密度激光雷达能够获取单株木三维结构特征,采用不同的数据处理方法,可以得到不同精度的单株木参数。该文利用高采样密度的机载激光雷达数据(离散回波,平均激光点间隔0.52 ...
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Hyperion高光谱数据森林郁闭度定量估测研究被引量:70收藏 分享
作者:谭炳香[1] 李增元[1] 陈尔学[1] 庞勇[1] 雷渊才[1]
机构:中国林业科学研究院资源信息研究所
来源:《北京林业大学学报》  2006
关键词:高光谱遥感  森林郁闭度  Hyperion  PCA  
摘要:该文探讨和评价了利用星载EO-1 Hyperion高光谱遥感数据定量估测森林郁闭度的能力.高光谱数据光谱特征空间降维采用两种方式,一种是光谱特征选择的波段选择法(BS),另一种是光谱特征提取的主成分变换法(PCA).从森...
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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Above-Ground Biomass and Biomass Components Estimation Using LiDAR Data in a Coniferous Forest被引量:64收藏 分享
作者:He, Qisheng[1] Chen, Erxue[2] An, Ru[1] Li, Yong[1]
机构:Hohai Univ;Chinese Acad Forestry
来源:FORESTS  2013
关键词:above-ground biomass   biomass components   LiDAR   coniferous forest   Qilian Mountain  
Stratification-Based Forest Aboveground Biomass Estimation in a Subtropical Region Using Airborne Lidar Data被引量:42收藏 分享
作者:Jiang, Xiandie[1,2] Li, Guiying[3,4] Lu, Dengsheng[1,2] Chen, Erxue[5] Wei, Xinliang[1,2]
机构:Zhejiang A&F Univ;Zhejiang A&F Univ;Fujian Normal Univ;Fujian Normal Univ;Chinese Acad Forestry
来源:REMOTE SENSING  2020
关键词:lidar   aboveground biomass   forest types   stratification   linear regression   random forest   subtropical forest  
Estimating zero-plane displacement hEIght and aerodynamic roughness length using synthesis of LiDAR and SPOT-5 data被引量:38收藏 分享
作者:Tian, X.[1,2] Li, Z. Y.[1] van der Tol, C.[2] Su, Z.[2] Li, X.[3]
机构:Chinese Acad Forestry;Univ Twente;Chinese Acad Sci;Chinese Acad Sci;Beijing Inst Space Mech & Elect
来源:REMOTE SENSING OF ENVIRONMENT  2011
关键词:Zero-plane displacement   Aerodynamic roughness length   WATER campaign   LiDAR   SPOT-5   Eddy covariance  
Examining the Roles of Spectral, Spatial, and Topographic Features in Improving Land-Cover and Forest Classifications in a Subtropical Region被引量:36收藏 分享
作者:Yu, Xiaozhi[1,2] Lu, Dengsheng[1,2,3] Jiang, Xiandie[3,4] Li, Guiying[3,4] Chen, Yaoliang[3,4]
机构:Zhejiang A&F Univ;Zhejiang A&F Univ;Fujian Normal Univ;Fujian Normal Univ;Chinese Acad Forestry
来源:REMOTE SENSING  2020
关键词:land-cover classification   subtropical ecosystem   random forest   multiple data sources   data fusion  
Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data被引量:33收藏 分享
作者:Fu, Liyong[1] Liu, Qingwang[1] Sun, Hua[2,3] Wang, Qiuyan[1] Li, Zengyuan[1]
机构:Chinese Acad Forestry;Cent South Univ Forestry & Technol;Key Lab Forestry Remote Sensing Based Big Data &;Xinyang Normal Univ;Southern Illinois Univ
来源:REMOTE SENSING  2018
关键词:airborne LiDAR   diameter at breast hEIght   aboveground biomass   error-in-variable models   leave-one-out cross-validation  
Simulation of Forest Carbon Fluxes Using Model Incorporation and Data Assimilation被引量:33收藏 分享
作者:Yan, Min[1] Tian, Xin[1] Li, Zengyuan[1] Chen, Erxue[1] Wang, Xufeng[2]
机构:Chinese Acad Forestry;Chinese Acad Sci;Fuzhou Univ
来源:REMOTE SENSING  2016
关键词:carbon fluxes   model incorporation   data assimilation  
Forest stand biomass estimation using ALOS PALSAR data based on LiDAR-derived prior knowledge in the Qilian Mountain, western China被引量:32收藏 分享
作者:He, Qi-Sheng[1,2,3] Cao, Chun-Xiang[1] Chen, Er-Xue[4] Sun, Guo-Qing[1] Ling, Fei-Long[4]
机构:Inst Remote Sensing Applicat Chinese Acad Sci & B;Hohai Univ;Chinese Acad Sci;Chinese Acad Forestry
来源:INTERNATIONAL JOURNAL OF REMOTE SENSING  2012
关键词:Backscattering - Forestry - Optical radar - Polarization - Synthetic aperture radar  
Integration of ZiYuan-3 Multispectral and Stereo Data for Modeling Aboveground Biomass of Larch Plantations in North China被引量:28收藏 分享
作者:Li, Guiying[1,2] Xie, Zhuli[3,4] Jiang, Xiandie[3,4] Lu, Dengsheng[1,2] Chen, Erxue[5]
机构:Fujian Normal Univ;Fujian Normal Univ;Zhejiang A&F Univ;Zhejiang A&F Univ;Chinese Acad Forestry
来源:REMOTE SENSING  2019
关键词:aboveground biomass estimation   data saturation   ZY-3 data   canopy hEIght   larch plantations  
机载LIDAR点云数据估测单株木生物量被引量:28收藏 分享
作者:刘清旺[1] 李增元[1] 陈尔学[1] 庞勇[1] 田昕[1]
机构:中国林业科学研究院资源信息研究所林业遥感与信息技术重点开放性实验室;中国科学院遥感应用研究所遥感科学国家重点实验室
来源:《高技术通讯》  2010
关键词:激光雷达(LIDAR)  树高  冠幅  胸径(DBH)  相关生长方程  生物量  青海云杉  
摘要:使用黑河流域遥感-地面观测同步试验获取的机载激光雷达(LIDAR)点云数据估测了典型树种的单株木生物量。首先由点云数据生成冠层高度模型(CHM),然后采用优化的单株木树冠特征识别算法估测相关的结构参数,最后通过回归分析建...
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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小麦倒伏的雷达极化特征及其遥感监测被引量:27收藏 分享
作者:杨浩[1,2] 杨贵军[1] 顾晓鹤[1] 李增元[2] 陈尔学[2]
机构:北京农业信息技术研究中心北京市农林科学院;中国林业科学研究院资源信息研究所
来源:《农业工程学报》  2014
关键词:雷达  极化  遥感  小麦  倒伏  灾害  极化指数  多时相  
摘要:研究探索了雷达遥感大面积监测小麦倒伏状况的潜力。利用覆盖整个小麦生育期的5景时间序列Radarsat-2全极化影像数据,对比分析了倒伏小麦与正常小麦在不同时间、不同极化的雷达后向散射动态响应规律,发现雷达极化特征对小麦倒...
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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星载SAR影像地理编码算法研究被引量:26收藏 分享
作者:陈尔学[1] 李增元[1]
机构:中国林业科学研究院资源信息研究所
来源:《高技术通讯》  2000
关键词:SAR影像  成像模型  地理编码  
摘要:对SAR成像机理进行了研究,据此对SAR的成像几何进行了精确构建。所建距离向和方位向成像方程的参数可以由卫星轨道参数和其它成像参数直接获得。若轨道参数精度较高,这些参数就可以直接用于SAR影像的地理编码,生成SAR正射影...
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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Synchronous estimation of DTM and fractional vegetation cover in forested area from airborne LIDAR hEIght and intensity data被引量:23收藏 分享
作者:Bao YunFei[1,2,3] Cao ChunXiang[1,2] Zhang Hao[1,2] Chen ErXue[4] He QiSheng[1,2,3]
机构:Chinese Acad Sci;Beijing Normal Univ;Chinese Acad Sci;Chinese Acad Forestry;Beijing Normal Univ
来源:SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES  2008
关键词:LIDAR   intensity   skewness   synchronous   DTM   fractional vegetation cover  
Synthesis of Leaf-on and Leaf-off Unmanned Aerial Vehicle (UAV) Stereo Imagery for the Inventory of Aboveground Biomass of Deciduous Forests被引量:22收藏 分享
作者:Ni, Wenjian[1,2] Dong, Jiachen[1,2] Sun, Guoqing[3] Zhang, Zhiyu[1] Pang, Yong[4]
机构:Chinese Acad Sci;Univ Chinese Acad Sci;Univ Maryland;Chinese Acad Forestry
来源:REMOTE SENSING  2019
关键词:forest aboveground biomass   stereo imagery   unmanned aerial vehicles   UAV   AGB   leaf-on   leaf-off   inventory  
星载SAR地形辐射校正模型及其效果评价被引量:21收藏 分享
作者:陈尔学[1,2] 李增元[1,2] 田昕[1,2] 凌飞龙[1,2]
机构:中国林业科学研究院资源信息研究所;国家林业局林业遥感与信息技术重点开放性实验室
来源:《武汉大学学报:信息科学版》  2010
关键词:合成孔径雷达  地形辐射校正  地理编码  正射校正  
摘要:根据合成孔径雷达(SAR)严格成像几何模型和辐射定标公式建立了地形辐射校正(TRC)模型。通过实验,从定性和定量两个方面评价了TRC模型的有效性。比较了基于投影角和基于当地入射角两种计算有效散射单元面积的方法,对根据初始...
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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A Novel Rapid SAR Simulator Based on Equivalent Scatterers for Three-Dimensional Forest Canopies被引量:21收藏 分享
作者:Zeng, Tao[1] Hu, Cheng[1] Sun, Hanwei[2] Chen, Erxue[3]
机构:Beijing Inst Technol;Tsinghua Univ;Chinese Acad Forestry
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2014
关键词:Equivalent scattering model   rapid simulator   raw-signal generation   synthetic aperture radar (SAR)   Three-dimensional forest canopies  
多时相双极化合成孔径雷达干涉测量土地覆盖分类方法被引量:20收藏 分享
作者:王馨爽[1,2] 陈尔学[1] 李增元[1] 姚顽强[3] 赵磊[1]
机构:中国林业科学研究院资源信息研究所;国家测绘地理信息局陕西基础地理信息中心;西安科技大学测绘科学与技术学院
来源:《测绘学报》  2015
关键词:多时相  极化  干涉合成孔径雷达  土地覆盖分类  
摘要:综合采用时相、极化和干涉3种维度的SAR数据进行土地覆盖分类。以黑龙江省逊克县多时相ALOS PALSAR数据覆盖区为研究区,利用不同时相极化SAR、干涉SAR信号对地物特征的敏感性,结合后向散射强度和干涉相干的时变特征...
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Tree Species Classification Using Ground-Based LiDAR Data by Various Point Cloud Deep Learning Methods被引量:19收藏 分享
作者:Liu, Bingjie[1] Huang, Huaguo[1] Su, Yong[2] Chen, Shuxin[3] Li, Zengyuan[3]
机构:Beijing Forestry Univ;Southwest Forestry Univ;Chinese Acad Forestry
来源:REMOTE SENSING  2022
关键词:tree species classification   point cloud deep learning   multi-layer perceptron   convolution   graph   attention   transformer  
Three-Step Semi-Empirical Radiometric Terrain Correction Approach for PolSAR Data Applied to Forested Areas被引量:17收藏 分享
作者:Zhao, Lei[1] Chen, Erxue[1] Li, Zengyuan[1] Zhang, Wangfei[2] Gu, Xinzhi[1]
机构:Chinese Acad Forestry;Southwest Forestry Univ
来源:REMOTE SENSING  2017
关键词:angular effect   biomass estimation   polarimetric SAR   polarisation orientation angle   terrain correction  
Improving Estimation of Forest Canopy Cover by Introducing Loss Ratio of Laser Pulses Using Airborne LiDAR被引量:17收藏 分享
作者:Liu, Qingwang[1,2] Fu, Liyong[3] Wang, Guangxing[4,5] Li, Shiming[3] Li, Zengyuan[3]
机构:Chinese Acad Forestry;Southern Illinois Univ;Chinese Acad Forestry;Southern Illinois Univ;Cent South Univ Forestry & Technol
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2020
关键词:Forestry   Laser radar   Estimation   Biological system modeling   Three-dimensional displays   Vegetation   Lasers   Canopy cover (CC) coefficient   canopy hEIght model (CHM)   hEIght normalized point cloud (NPC)   loss ratio of laser pulses  
Forest aboveground biomass estimation using polarization coherence tomography and PolSAR segmentation被引量:16收藏 分享
作者:Li, Wenmei[1,2] Chen, Erxue[1] Li, Zengyuan[1] Ke, Yinghai[3] Zhan, Wenfeng[4]
机构:Chinese Acad Forestry;Nanjing Univ Posts & Telecommun;Capital Normal Univ;Nanjing Univ
来源:INTERNATIONAL JOURNAL OF REMOTE SENSING  2015
关键词:Biomass - Budget control - Climate change - Forestry - Image segmentation - Mean square error - Polarimeters - Polarization - Synthetic aperture radar - Tomography  
Discriminative feature constraints via supervised contrastive learning for few-shot forest tree species classification using airborne hyperspectral images被引量:15收藏 分享
作者:Chen, Long[1,2] Wu, Jing[1,2] Xie, Yifan[1,2] Chen, Erxue[3] Zhang, Xiaoli[1,2]
机构:Beijing Forestry Univ;Beijing Forestry Univ;Chinese Acad Forestry
来源:REMOTE SENSING OF ENVIRONMENT  2023
关键词:Supervised contrastive learning   Multiple tree species classification   Prototypical networks   Airborne hyperspectral images   RandAugment  
Optimal Support Vector Machines for Forest Above-ground Biomass Estimation from Multisource Remote Sensing Data被引量:15收藏 分享
作者:Guo, Ying[1] Li, Zengyuan[1] Zhang, Xu[1] Chen, Er-xue[1] Bai, Lina[1]
机构:Chinese Acad Forestry
来源:2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)  2012
关键词:SVM   KNN   RBFNN   BPNN   random forest   forest above-ground biomass   multisource remote sensing estimation  
Estimating wheat biomass from GF-3 data and a polarized water cloud model被引量:14收藏 分享
作者:Han, Dong[1,2] Yang, Hao[2] Qiu, Chunxia[1] Yang, Guijun[2] Chen, Erxue[3]
机构:Xian Univ Sci & Technol;Minist Agr China;Chinese Acad Forestry
来源:REMOTE SENSING LETTERS  2019
关键词:Agricultural robots - Biomass - Cloud computing - Mean square error - Remote sensing - Soil moisture - Synthetic aperture radar  
Forest Aboveground Biomass Estimation Using Multi-Features Extracted by Fitting Vertical Backscattered Power Profile of Tomographic SAR被引量:13收藏 分享
作者:Wan, Xiangxing[1,2] Li, Zengyuan[1,2] Chen, Erxue[1,2] Zhao, Lei[1,2] Zhang, Wangfei[3]
机构:Chinese Acad Forestry;Chinese Acad Forestry;Southwest Forestry Univ
来源:REMOTE SENSING  2021
关键词:TomoSAR   forest AGB   backscattered power   forest vertical profile  
The Potential of Forest Biomass Inversion Based on Vegetation Indices Using Multi-Angle CHRIS/PROBA Data被引量:13收藏 分享
作者:Wang, Qiang[1,2,3] Pang, Yong[4] Li, Zengyuan[4] Sun, Guoqing[5] Chen, Erxue[4]
机构:Harbin Inst Technol;Heilongjiang Inst Technol;CUNY Hunter Coll;Chinese Acad Forestry;Univ Maryland
来源:REMOTE SENSING  2016
关键词:multi-angle remote sensing   forest structure information   vegetation indices   forest biomass   Bidirectional Reflectance Distribution Factor  
Simulation of Forest Evapotranspiration Using Time-Series Parameterization of the Surface Energy Balance System (SebS) over the Qilian Mountains被引量:12收藏 分享
作者:Tian, Xin[1,2] van der Tol, Christiaan[2] Su, Zhongbo[2] Li, Zengyuan[1] Chen, Erxue[1]
机构:Chinese Acad Forestry;Univ Twente;Chinese Acad Sci;Fuzhou Univ;Univ Technol Sydney
来源:REMOTE SENSING  2015
关键词:roughness length   forest vertical parameters   Surface Energy Balance System (SebS)   evapotranspiration   remote sensing  
Data Augmentation in Prototypical Networks for Forest Tree Species Classification Using Airborne Hyperspectral Images被引量:12收藏 分享
作者:Chen, Long[1,2] Wei, Yuxin[1,2] Yao, Zongqi[1,2] Chen, Erxue[3] Zhang, Xiaoli[1,2]
机构:Beijing Forestry Univ;Beijing Forestry Univ;Chinese Acad Forestry
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2022
关键词:Vegetation   Hyperspectral imaging   Forestry   Training   Testing   Task analysis   Feature extraction   Airborne hyperspectral images   data augmentation   MaxUp   prototypical networks (P-Nets)   tree species classification  
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