成果/Result
- Estimation of forest biomass dynamics in subtropical forests using multi-temporal airborne LiDAR data被引量：122收藏
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- A generalized interregional nonlinear mixed-effects crown width model for Prince Rupprecht larch in northern China被引量：57收藏
- 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
- Multiscale 3-D-2-D Mixed CNN and Lightweight Attention-Free Transformer for Hyperspectral and LiDAR Classification被引量：57收藏
- 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
- Compatible Biomass Model with Measurement Error Using Airborne LiDAR Data被引量：52收藏
- 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
- 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
- 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
- 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
- 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
- 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
- Climate-sensitive tree height-diameter allometry for Chinese fir in southern China被引量：39收藏
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- A climate-sensitive aboveground biomass model for three larch species in northeastern and northern China被引量：31收藏
- 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
- Study on Reproductive Biology of Rhododendron longipedicellatum: A Newly Discovered and Special Threatened Plant Surviving in Limestone Habitat in Southeast Yunnan, China被引量：28收藏
- 作者：Li, Taiqiang[1] Liu, Xiongfang[1] Li, Zhenghong[1] Ma, Hong[1] Wan, Youming[1]
- 机构：Chinese Acad Forestry;Chinese Acad Forestry
- 来源：FRONTIERS IN PLANT SCIENCE 2018
- 关键词：limestone habitat special threatened plant flowering biology reflectance spectrum breeding system pollination biology Rhododendron
- Integrating spaceborne LiDAR and Sentinel-2 images to estimate forest aboveground biomass in Northern China被引量：27收藏
- 作者：Jiang, Fugen[1,2,3] Deng, Muli[1,2,3] Tang, Jie[1,2,3] Fu, Liyong[1,4] Sun, Hua[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;Chinese Acad Forestry
- 来源：CARBON BALANCE AND MANAGEMENT 2022
- 关键词：Aboveground biomass Carbon cycle and management Remote sensing ICESat-2 Google earth engine Machine learning
- Mapping the potential distribution suitability of 16 tree species under climate change in northeastern China using Maxent modelling被引量：27收藏
- 作者：Liu, Dan[1] Lei, Xiangdong[1] Gao, Wenqiang[1] Guo, Hong[1] Xie, Yangsheng[1]
- 机构：Chinese Acad Forestry;Acad Forest Inventory & Planning Jilin Prov
- 来源：JOURNAL OF FORESTRY RESEARCH 0
- 关键词：Species distribution model National forest inventory data Natural forest Climate change Site suitability mapping Maxent modelling
- Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data被引量：26收藏
- 作者：Fu, Liyong[1,2,3] Duan, Guangshuang[2,4] Ye, Qiaolin[5] Meng, Xiang[2,3] Luo, Peng[2]
- 机构：Cent South Univ Forestry & Technol;Chinese Acad Forestry;Natl Forestry & Grassland Adm;Xinyang Normal Univ;Nanjing Forestry Univ
- 来源：REMOTE SENSING 2020
- 关键词：Picea crassifolia Kom random effects calibration leave-one sub-sample plot-out cross- validation prediction accuracy
- Preferred vector machine for forest fire detection被引量：26收藏
- 作者：Yang, Xubing[1] Hua, Zhichun[1] Zhang, Li[1] Fan, Xijian[1] Zhang, Fuquan[1]
- 机构：Nanjing Forestry Univ;Nanjing Forestry Univ;Chinese Acad Forestry
- 来源：PATTERN RECOGNITION 2023
- 关键词：Forest fire detection Fire detection rate Error warning rate SVM Dual representation
