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( 任职于 资源信息研究所)

被引量:2,784H指数:30SCI-EXPANDED: 109 EI: 112 CPCI-S: 2 北大核心: 57 CSCD: 57

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216 条 记 录,以下是 1-30

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Estimation of forest biomass dynamics in subtropical forests using multi-temporal airborne LiDAR data被引量:122收藏 分享
作者:Cao, Lin[1,2] Coops, Nicholas C.[2] Innes, John L.[2] Sheppard, Stephen R. J.[2] Fu, Liyong[3]
机构:Nanjing Forestry Univ;Univ British Columbia;Chinese Acad Forestry
来源:REMOTE SENSING OF ENVIRONMENT  2016
关键词:Multi-temporal   Airborne LiDAR   Subtropical forest   Biomass change   Forest growth   Canopy height   Direct approach  
Learning Robust Discriminant Subspace Based on Joint L-2,L- p- and L-2,L-s-Norm Distance Metrics被引量:113收藏 分享
作者:Fu, Liyong[1,2,3] Li, Zechao[4] Ye, Qiaolin[2] Yin, Hang[2] Liu, Qingwang[3,5]
机构:Cent South Univ Forestry & Technol;Nanjing Forestry Univ;Chinese Acad Forestry;Nanjing Univ Sci & Technol;Natl Forestry & Grassland Adm
来源:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS  2022
关键词:Discriminant power   joint L-2,L- p- and L-2,L-s-norm   nongreedy   robust discriminant analysis (RDA)   rotational invariance   s-norm distance metrics  
Nonpeaked Discriminant Analysis for Data Representation被引量:110收藏 分享
作者:Ye, Qiaolin[1,2] Li, Zechao[3] Fu, Liyong[2,4] Zhang, Zhao[5,6] Yang, Wankou[7]
机构:Nanjing Forestry Univ;Chinese Acad Forestry;Nanjing Univ Sci & Technol;Natl Forestry & Grassland Adm;Soochow Univ
来源:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS  2019
关键词:Cutting L-norm distance   data classification   discriminant analysis   robustness  
Nonlinear mixed-effects crown width models for individual trees of Chinese fir (Cunninghamia lanceolata) in south-central China被引量:96收藏 分享
作者:Fu, Liyong[1] Sun, Hua[2] Sharma, Ram P.[3] Lei, Yuancai[1] Zhang, Huiru[1]
机构:Chinese Acad Forestry;Cent South Univ Forestry & Technol;Norwegian Univ Life Sci
来源:FOREST ECOLOGY AND MANAGEMENT  2013
关键词:Cunninghamia lanceolata   Heteroskedasticity   Individual-tree crown width model   Two-level nonlinear mixed-effects model  
Least squares twin bounded support vector machines based on L1-norm distance metric for classification被引量:85收藏 分享
作者:Yan, He[1] Ye, Qiaolin[1,4,5] Zhang, Tian'an[1,2] Yu, Dong-Jun[3] Yuan, Xia[3]
机构:Nanjing Forestry Univ;Nanjing Forestry Univ;Nanjing Univ Sci & Technol;Nanjing Univ Sci & Technol;Huaiyin Inst Technol
来源:PATTERN RECOGNITION  2018
关键词:L1-LSTBSVM   TBSVM   L1-norm distance   Outliers  
A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China被引量:76收藏 分享
作者:Fu, Liyong[1,2] Zhang, Huiru[1] Sharma, Ram P.[3] Pang, Lifeng[1] Wang, Guangxing[4]
机构:Chinese Acad Forestry;Penn State Univ;Czech Univ Life Sci Prague;Southern Illinois Univ Carbondale
来源:FOREST ECOLOGY AND MANAGEMENT  2017
关键词:Model calibration   Random effects   Heteroscedasticity   Two-level mixed-effects model   Optimal sample size  
Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition被引量:73收藏 分享
作者:Fu, Liyong[1,2] Zhang, Dong[3] Ye, Qiaolin[4]
机构:Nanjing Forestry Univ;Chinese Acad Forestry;Nanjing Univ Sci & Technol;Nanjing Forestry Univ
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2021
关键词:Attention learning   convolutional neural networks (CNNs)   object detection   remote sensing scene (RSS) classification   RSS recognition  
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing被引量:58收藏 分享
作者:Liu, Fan[1,2] Chen, Delong[3] Guan, Zhangqingyun[1] Zhou, Xiaocong[1] Zhu, Jiale[1]
机构:Hohai Univ;Minist Water Resources;Hong Kong Univ Sci & Technol;Nanjing Forestry Univ;Chinese Acad Forestry
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2024
关键词:Contrastive language image pretraining (CLIP)   foundation model   multimodality   remote sensing   vision-language  
不同郁闭度下胸高直径对杉木冠幅特征因子的影响被引量:58收藏 分享
作者:符利勇[1] 孙华[2] 张会儒[1] 雷相东[1] 雷渊才[1]
机构:中国林业科学研究院资源信息研究所;中南林业科技大学林业遥感信息工程研究中心
来源:《生态学报》  2013
关键词:冠幅  冠长率  杉木  非线性混合效应模型  
摘要:树冠是树木进行光合作用和呼吸作用的重要场所,冠幅和冠长率直接影响树木的生活力和生产力。以湖南省黄丰桥国有林场103块杉木(Cunninghamia lanceolata)林样地为例,样地按郁闭度CD≥0.8(类型1)、0...
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Multiscale 3-D-2-D Mixed CNN and Lightweight Attention-Free Transformer for Hyperspectral and LiDAR Classification被引量:57收藏 分享
作者:Sun, Le[1] Wang, Xinyu[2] Zheng, Yuhui[2,3] Wu, Zebin[2] Fu, Liyong[4]
机构:Nanjing Univ Informat Sci & Technol;Nanjing Univ Informat Sci & Technol;Qinghai Normal Univ;Chinese Acad Forestry
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2024
关键词:Convolutional neural network (CNN)   hyperspectral image (HSI)   joint classification   light detection and ranging (LiDAR) data   multiscale   transformer  
A generalized interregional nonlinear mixed-effects crown width model for Prince Rupprecht larch in northern China被引量:57收藏 分享
作者:Fu, Liyong[1,2] Sharma, Ram P.[3] Hao, Kaijie[4] Tang, Shouzheng[1]
机构:Chinese Acad Forestry;Penn State Univ;Czech Univ Life Sci;Shanxi Acad Forestry Sci
来源:FOREST ECOLOGY AND MANAGEMENT  2017
关键词:Crown width   Interregional effects   Optimal sample size   Random effects   Two-level mixed-effects model  
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  
Robust capped L1-norm twin support vector machine被引量:51收藏 分享
作者:Wang, Chunyan[1,2] Ye, Qiaolin[1] Luo, Peng[2] Ye, Ning[1] Fu, Liyong[2]
机构:Nanjing Forestry Univ;Chinese Acad Forestry
来源:NEURAL NETWORKS  2019
关键词:Machine learning   TWSVM   Capped L1-norm   Robustness  
Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis被引量:51收藏 分享
作者:Ye, Qiaolin[1,2] Fu, Liyong[1] Zhang, Zhao[3] Zhao, Henghao[2] Naiem, Meem[2]
机构:Chinese Acad Forestry;Nanjing Forestry Univ;Soochow Univ
来源:NEURAL NETWORKS  2018
关键词:linear Discriminant Analysis   Lp-norm   Ls-norm   Robustness  
CRNet: Channel-Enhanced Remodeling-Based Network for Salient Object Detection in Optical Remote Sensing Images被引量:49收藏 分享
作者:Sun, Le[1] Wang, Qing[2] Chen, Yuwen[4] Zheng, Yuhui[2,3] Wu, Zebin[2]
机构:Nanjing Univ Informat Sci & Technol;Nanjing Univ Informat Sci & Technol;Xidian Univ;Chinese Acad Sci;Chinese Acad Forestry
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2023
关键词:Channel enhance module (CEM)   optical remote sensing images (RSIS)   redefined feature module (RFM)   salient object detection (SOD)  
Comparison of seemingly unrelated regressions with error-in-variable models for developing a system of nonlinear additive biomass equations被引量:48收藏 分享
作者:Fu, Liyong[1] Lei, Yuancai[1] Wang, Guangxing[2,3] Bi, Huiquan[4] Tang, Shouzheng[1]
机构:Chinese Acad Forestry;Cent South Univ Forestry & Technol;So Illinois Univ;New South Wales Dept Ind & Investment;Xinyang Normal Univ
来源:TREES-STRUCTURE AND FUNCTION  2016
关键词:Additivity   Nonlinear error-in-variable models   Nonlinear seemingly unrelated regression   Tree biomass   Pinus massoniana Lamb  
基于混合效应模型的杉木单木冠幅预测模型被引量:46收藏 分享
作者:符利勇[1] 孙华[1,2]
机构:中国林业科学研究院资源信息研究所;中南林业科技大学林业遥感信息工程研究中心
来源:《林业科学》  2013
关键词:杉木  单木冠幅模型  嵌套2水平非线性混合模型  异方差  
摘要:以湖南省黄丰桥国有林场103块样地共2461株杉木为例,建立单木冠幅模型。由于所调查数据是在不同立地条件下相同样地中重复观察得到,数据间存在明显相关性,为解决此问题,将考虑立地指数和样地对冠幅生长的随机影响,即建立嵌套2...
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Climate-sensitive tree height-diameter allometry for Chinese fir in southern China被引量:39收藏 分享
作者:Zhang, Xiongqing[1,2] Chhin, Sophan[3] Fu, Liyong[4] Lu, Lele[1] Duan, Aiguo[1]
机构:Chinese Acad Forestry;Nanjing Forestry Univ;West Virginia Univ;Chinese Acad Forestry
来源:FORESTRY  2019
A Hybrid Approach of Combining Random Forest with Texture Analysis and VDVI for Desert Vegetation Mapping Based on UAV RGB Data被引量:39收藏 分享
作者:Zhou, Huoyan[1,2] Fu, Liyong[2] Sharma, Ram P.[3] Lei, Yuancai[2] Guo, Jinping[1]
机构:Shanxi Agr Univ;Chinese Acad Forestry;Tribhuwan Univ
来源:REMOTE SENSING  2021
关键词:RF   Maximum likelihood classification   desertification  
Integrating regional climate change into allometric equations for estimating tree aboveground biomass of Masson pine in China被引量:38收藏 分享
作者:Fu, Liyong[1] Lei, Xiangdong[1] Hu, Zongda[2] Zeng, Weisheng[3] Tang, Shouzheng[1]
机构:Chinese Acad Forestry;Sichuan Agr Univ;State Forestry Adm;Univ British Columbia;Nanjing Forestry Univ
来源:ANNALS OF FOREST SCIENCE  2017
关键词:Masson pine   Subtropical China   Climate change   Climate-sensitive aboveground biomass model   Nonlinearmixed-effects model   Dummy variable approach  
Video Moment Retrieval With Noisy Labels被引量:37收藏 分享
作者:Pan, Wenwen[1] Zhao, Zhou[1] Huang, Wencan[1] Zhang, Zhu[1] Fu, Liyong[2,3]
机构:Zhejiang Univ;Chinese Acad Forestry;Natl Forestry & Grassland Adm;Hangzhou Dianzi Univ
来源:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS  2024
关键词:Noise measurement   Annotations   Training   Manuals   Feature extraction   Deep learning   Task analysis   Co-teaching   feature pyramid network   multilevel losses   noisy label learning   video moment retrieval (VMR)  
BASNet: Burned Area Segmentation Network for Real-Time Detection of Damage Maps in Remote Sensing Images被引量:37收藏 分享
作者:Bo, Weihao[1] Liu, Jie[1] Fan, Xijian[1] Tjahjadi, Tardi[2] Ye, Qiaolin[1]
机构:Coll Informat Sci & Technol;Univ Warwick;Chinese Acad Forestry
来源:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING  2022
关键词:Image segmentation   Semantics   Vegetation mapping   Optical imaging   Feature extraction   Autonomous aerial vehicles   Satellites   Burned area segmentation (BAS)   convolutional neural network (CNN)   forest fire monitoring   salient object detection (SOD)  
Performance and Sensitivity of Individual Tree Segmentation Methods for UAV-LiDAR in Multiple Forest Types被引量:36收藏 分享
作者:Ma, Kaisen[1,2,3] Chen, Zhenxiong[4] Fu, Liyong[1,5] Tian, Wanli[6] Jiang, Fugen[1,2,3]
机构:Cent South Univ Forestry & Technol;Key Lab Forestry Remote Sensing Based Big Data &;Key Lab State Forestry Adm Forest Resources Manag;Cent South Inventory & Planning Inst Natl Forestr;Chinese Acad Forestry
来源:REMOTE SENSING  2022
关键词:LiDAR   forest investigation   individual tree segmentation   tree detection   tree height extraction  
几种相容性生物量模型及估计方法的比较被引量:35收藏 分享
作者:符利勇[1] 雷渊才[1] 曾伟生[2]
机构:中国林业科学研究院资源信息研究所;国家林业局调查规划设计院
来源:《林业科学》  2014
关键词:非线性似然无关回归法  比例平差法  非线性联立方程组法  相容性  生物量模型  
摘要:以南方150株马尾松地上生物量数据为例,在考虑林分起源和未考虑林分起源2种情形下,对非线性似然无关回归法、比例平差法和非线性联立方程组法3种方法进行综合比较研究。根据分配层次不同,比例平差法和非线性联立方程组法将进一步考...
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Modelling a system of nonlinear additive crown width models applying seemingly unrelated regression for Prince Rupprecht larch in northern China被引量:35收藏 分享
作者:Fu, Liyong[1,2] Sharma, Ram P.[3] Wang, Guangxing[4] Tang, Shouzheng[1]
机构:Chinese Acad Forestry;Penn State Univ;Czech Univ Life Sci Prague;Southern Illinois Univ
来源:FOREST ECOLOGY AND MANAGEMENT  2017
关键词:Additivity   Dominant height   Nonlinear seemingly unrelated regression   Adjustment in proportion   Ordinary least squares with separating regression  
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  
不同林分起源的相容性生物量模型构建被引量:32收藏 分享
作者:符利勇[1] 雷渊才[1] 孙伟[2] 唐守正[1] 曾伟生[3]
机构:中国林业科学研究院资源信息研究所;新疆农业大学计算机与信息工程学院;国家林业局调查规划设计院
来源:《生态学报》  2014
关键词:非线性联立方程组  比例平差法  相容性  马尾松  
摘要:目前为止已有不同方法构建生物量相容性模型,但不同林分起源的生物量相容性模型很少报道。针对此问题,以150株南方马尾松(Pinus masson iana)地上生物量数据为例,利用比例平差法和非线性联立方程组法建立不同起源...
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利用混合模型分析地域对国内马尾松生物量的影响被引量:31收藏 分享
作者:符利勇[1] 曾伟生[1] 唐守正[1]
机构:中国林业科学研究院资源信息研究所
来源:《生态学报》  2011
关键词:立木生物量  马尾松  混合模型  通用性  
摘要:开展全国森林生物量监测和评估,建立适合较大区域范围的通用性立木生物量模型是一项重要的基础工作,而分析森林生物量受不同地域的影响并保证不同尺度范围森林生物量估计值的可靠性,是必须面临的问题。以南方马尾松(Pinusmass...
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A climate-sensitive aboveground biomass model for three larch species in northeastern and northern China被引量:31收藏 分享
作者:Fu, Liyong[1,2] Sun, Wei[3] Wang, Guangxing[4]
机构:Chinese Acad Forestry;Penn State Univ;Xinjiang Agr Univ;Southern Illinois Univ Carbondale
来源:TREES-STRUCTURE AND FUNCTION  2017
关键词:Larch species   Climate-sensitive aboveground biomass model   Nonlinear mixed-effects model   Dummy variable approach   Climate change  
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