Xiangnan Liu

According to our database, Xiangnan Liu authored at least 102 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Task Learning Resource Allocation in Federated Integrated Sensing and Communication Networks.

Xiangnan Liu, Haijun Zhang, Chao Ren, Haojin Li, Chen Sun, Victor C. M. Leung

IEEE Trans. Wirel. Commun., September, 2024

Joint Radar Sensing, Location, and Communication Resources Optimization in 6G Network.

Haijun Zhang, Bowen Chen, Xiangnan Liu, Chao Ren

IEEE J. Sel. Areas Commun., September, 2024

Resource Allocation and Mobility Management for Perceptive Mobile Networks in 6G.

Haijun Zhang, Yuxin Zhang, Xiangnan Liu, Kai Sun, Yaomin Zhang

IEEE Wirel. Commun., August, 2024

EWMACD Algorithm in Early Detection of Defoliation Caused by Dendrolimus tabulaeformis Tsai et Liu.

Yuxin Zhao, Zeyu Cui, Xiangnan Liu, Meiling Liu, Ben Yang, Lei Feng, Botian Zhou, Tingwei Zhang, Zheng Tan, Ling Wu

Remote. Sens., July, 2024

IRS Empowered MEC System With Computation Offloading, Reflecting Design, and Beamforming Optimization.

Zijun Wu, Haijun Zhang, Xiangnan Liu, Linpei Li, Haojin Li

IEEE Trans. Commun., May, 2024

AI-Driven Integration of Sensing and Communication in the 6G Era.

Xiangnan Liu, Haijun Zhang, Kai Sun, Keping Long, George K. Karagiannidis

IEEE Netw., May, 2024

Historical Dynamic Mapping of Eucalyptus Plantations in Guangxi during 1990-2019 Based on Sliding-Time-Window Change Detection Using Dense Landsat Time-Series Data.

Yiman Li, Xiangnan Liu, Meiling Liu, Ling Wu, Lihong Zhu, Zhi Huang, Xiaojing Xue, Lingwen Tian

Remote. Sens., March, 2024

Time Allocation Approaches for a Perceptive Mobile Network Using Integration of Sensing and Communication.

Haijun Zhang, Yuxin Zhang, Xiangnan Liu, Chao Ren, Haojin Li, Chen Sun

IEEE Trans. Wirel. Commun., February, 2024

Remote Sensing Change Detection Method Based on Dynamic Adaptive Focal Loss.

Yuqi Xu, Ling Wu, Xiangnan Liu, Chen Chen, Yiman Li, Qian Zhang, Meiling Liu, Tingwei Zhang, Baowen Yang

IEEE Trans. Geosci. Remote. Sens., 2024

Layer-wise Efficient Federated Learning with Distributed Clustering and D2D Communications.

Chen Sun, Xiangnan Liu, Xinyu Huang, Carlo Fischione

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

2023

Distributed Unsupervised Learning for Interference Management in Integrated Sensing and Communication Systems.

Xiangnan Liu, Haijun Zhang, Keping Long, Arumugam Nallanathan, Victor C. M. Leung

IEEE Trans. Wirel. Commun., December, 2023

Joint Optimization of Caching Placement and Power Allocation in Virtualized Satellite-Terrestrial Network.

Haijun Zhang, Jiali Xu, Xiangnan Liu, Keping Long, Victor C. M. Leung

IEEE Trans. Wirel. Commun., November, 2023

USTB 6G: Key Technologies and Metaverse Applications.

Haijun Zhang, Dong Wang, Shuqing Wu, Wanqing Guan, Xiangnan Liu

IEEE Wirel. Commun., October, 2023

GNN-Based Power Allocation and User Association in Digital Twin Network for the Terahertz Band.

Haijun Zhang, Xu Ma, Xiangnan Liu, Linpei Li, Kai Sun

IEEE J. Sel. Areas Commun., October, 2023

Identification of Ecological Restoration Approaches and Effects Based on the OO-CCDC Algorithm in an Ecologically Fragile Region.

Caiyong Wei, Xiaojing Xue, Lingwen Tian, Qin Yang, Bowen Hou, Wenlong Wang, Dawei Ma, Yuanyuan Meng, Xiangnan Liu

Remote. Sens., August, 2023

Recognition method of maize crop rows at the seedling stage based on MS-ERFNet model.

Xiangnan Liu, Jiangtao Qi, Weirong Zhang, Zhiyuan Bao, Kaichen Wang, Ning Li

Comput. Electron. Agric., August, 2023

Joint UAV Placement Optimization, Resource Allocation, and Computation Offloading for THz Band: A DRL Approach.

Heng Wang, Haijun Zhang, Xiangnan Liu, Keping Long, Arumugam Nallanathan

IEEE Trans. Wirel. Commun., July, 2023

Assessing Forest Landscape Stability through Automatic Identification of Landscape Pattern Evolution in Shanxi Province of China.

Bowen Hou, Caiyong Wei, Xiangnan Liu, Yuanyuan Meng, Xiaoyue Li

Remote. Sens., February, 2023

PPO-Based PDACB Traffic Control Scheme for Massive IoV Communications.

Haijun Zhang, Minghui Jiang, Xiangnan Liu, Xiangming Wen, Ning Wang, Keping Long

IEEE Trans. Intell. Transp. Syst., January, 2023

Multi-Dimensional Evaluation of Ecosystem Health in China's Loess Plateau Based on Function-Oriented Metrics and BFAST Algorithm.

Xiaoyue Li, Xiangnan Liu, Bowen Hou, Lingwen Tian, Qin Yang, Lihong Zhu, Yuanyuan Meng

Remote. Sens., January, 2023

Sub-Annual Scale LandTrendr: Sub-Annual Scale Deforestation Detection Algorithm Using Multi-Source Time Series Data.

Baowen Yang, Ling Wu, Zhengshan Ju, Xiangnan Liu, Meiling Liu, Tingwei Zhang, Yuqi Xu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Intelligent Channel Prediction and Power Adaptation in LEO Constellation for 6G.

Haijun Zhang, Wei Song, Xiangnan Liu, Min Sheng, Wei Li, Keping Long, Octavia A. Dobre

IEEE Netw., 2023

User Scheduling and Task Offloading in Multi-Tier Computing 6G Vehicular Network.

Haijun Zhang, Lizhe Feng, Xiangnan Liu, Keping Long, George K. Karagiannidis

IEEE J. Sel. Areas Commun., 2023

Spatiotemporal graph-based analysis of land cover evolution using remote sensing time series data.

Xinyu Zou, Xiangnan Liu, Meiling Liu, Lingwen Tian, Lihong Zhu, Qian Zhang

Int. J. Geogr. Inf. Sci., 2023

Deep manifold regularized semi-nonnegative matrix factorization for Multi-view Clustering.

Xiangnan Liu, Shifei Ding, Xiao Xu, Lijuan Wang

Appl. Soft Comput., 2023

2022

Remote Sensing Extraction Method of Illicium verum Based on Functional Characteristics of Vegetation Canopy.

Zhuoyao Zhang, Xiangnan Liu, Lihong Zhu, Junji Li, Yue Zhang

Remote. Sens., December, 2022

An Object- and Shapelet-Based Method for Mapping Planted Forest Dynamics from Landsat Time Series.

Xiaojing Xue, Caiyong Wei, Qin Yang, Lingwen Tian, Lihong Zhu, Yuanyuan Meng, Xiangnan Liu

Remote. Sens., December, 2022

Decomposition of long time-series fraction of absorbed photosynthetically active radiation signal for distinguishing heavy metal stress in rice.

Mengqi Li, Meiling Liu, Xiangnan Liu, Tao Peng, Shuyu Wang

Comput. Electron. Agric., July, 2022

Energy Efficient User Association, Resource Allocation and Caching Deployment in Fog Radio Access Networks.

Xiangnan Liu, Haijun Zhang, Keping Long, Arumugam Nallanathan, Victor C. M. Leung

IEEE Trans. Veh. Technol., 2022

Online Forest Disturbance Detection at the Sub-Annual Scale Using Spatial Context From Sparse Landsat Time Series.

Ling Wu, Xiangnan Liu, Meiling Liu, Jinghui Yang, Lihong Zhu, Botian Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

State-and-Evolution Detection Models: A Framework for Continuously Monitoring Landscape Pattern Change.

Lingwen Tian, Xiangnan Liu, Meiling Liu, Ling Wu

IEEE Trans. Geosci. Remote. Sens., 2022

Reconstruction of Optical Image Time Series With Unequal Lengths SAR Based on Improved Sequence-Sequence Model.

Tao Peng, Meiling Liu, Xiangnan Liu, Qian Zhang, Ling Wu, Xinyu Zou

IEEE Trans. Geosci. Remote. Sens., 2022

Hybrid Spatiotemporal Graph Convolutional Network for Detecting Landscape Pattern Evolution From Long-Term Remote Sensing Images.

Meiling Liu, Xiangnan Liu, Ling Wu, Tao Peng, Qian Zhang, Xinyu Zou, Lingwen Tian, Xuan Wang

IEEE Trans. Geosci. Remote. Sens., 2022

Proximal Policy Optimization-Based Transmit Beamforming and Phase-Shift Design in an IRS-Aided ISAC System for the THz Band.

Xiangnan Liu, Haijun Zhang, Keping Long, Mingyu Zhou, Yonghui Li, H. Vincent Poor

IEEE J. Sel. Areas Commun., 2022

Primal-Dual Learning for Cross-Layer Resource Management in Cell-Free Massive MIMO IIoT.

Xiangnan Liu, Haijun Zhang, Xiangming Wen, Keping Long, Jianquan Wang, Lei Sun

IEEE Internet Things J., 2022

Deep Dyna-Reinforcement Learning Based on Random Access Control in LEO Satellite IoT Networks.

Xiangnan Liu, Haijun Zhang, Keping Long, Arumugam Nallanathan, Victor C. M. Leung

IEEE Internet Things J., 2022

An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease.

Jiangtao Qi, Xiangnan Liu, Kai Liu, Farong Xu, Hui Guo, Xinliang Tian, Mao Li, Zhiyuan Bao, Yang Li

Comput. Electron. Agric., 2022

AI-aided Traffic Control Scheme for M2M Communications in the Internet of Vehicles.

Haijun Zhang, Minghui Jiang, Xiangnan Liu, Keping Long, Victor C. M. Leung

Proceedings of the IEEE International Conference on Communications, 2022

2021

Extracting Frequent Sequential Patterns of Forest Landscape Dynamics in Fenhe River Basin, Northern China, from Landsat Time Series to Evaluate Landscape Stability.

Yue Zhang, Xiangnan Liu, Qin Yang, Zhaolun Liu, Yu Li

Remote. Sens., 2021

Comparative Analysis of Edge Information and Polarization on SAR-to-Optical Translation Based on Conditional Generative Adversarial Networks.

Qian Zhang, Xiangnan Liu, Meiling Liu, Xinyu Zou, Lihong Zhu, Xiaohao Ruan

Remote. Sens., 2021

Multi-Scale Spatiotemporal Change Characteristics Analysis of High-Frequency Disturbance Forest Ecosystem Based on Improved Spatiotemporal Cube Model.

Yangcen Zhang, Xiangnan Liu, Meiling Liu, Xinyu Zou, Qian Zhang, Tao Peng

Remote. Sens., 2021

Developing a new disturbance index for tracking gradual change of forest ecosystems in the hilly red soil region of southern China using dense Landsat time series.

Lu Ye, Meiling Liu, Xiangnan Liu, Lihong Zhu

Ecol. Informatics, 2021

An autoencoder-based model for forest disturbance detection using Landsat time series data.

Gaoxiang Zhou, Ming Liu, Xiangnan Liu

Int. J. Digit. Earth, 2021

Spectral analysis of seasonal rock and vegetation changes for detecting karst rocky desertification in southwest China.

Jie Zhang, Meiling Liu, Xiangnan Liu, Weiqun Luo, Ling Wu, Lihong Zhu

Int. J. Appl. Earth Obs. Geoinformation, 2021

Long-term Landsat monitoring of mining subsidence based on spatiotemporal variations in soil moisture: A case study of Shanxi Province, China.

Zhiyu Yi, Meiling Liu, Xiangnan Liu, Yuebin Wang, Ling Wu, Zheng Wang, Lihong Zhu

Int. J. Appl. Earth Obs. Geoinformation, 2021

Characterising three decades of evolution of forest spatial pattern in a major coal-energy province in northern China using annual Landsat time series.

Yu Li, Meiling Liu, Xiangnan Liu, Wenfu Yang, Wenwen Wang

Int. J. Appl. Earth Obs. Geoinformation, 2021

Quantifying the spatiotemporal characteristics of multi-dimensional karst ecosystem stability with Landsat time series in southwest China.

Zhi Huang, Xiangnan Liu, Qin Yang, Yuanyuan Meng, Lihong Zhu, Xinyu Zou

Int. J. Appl. Earth Obs. Geoinformation, 2021

Primal Dual PPO Learning Resource Allocation in Indoor IRS-Aided Networks.

Haijun Zhang, Xiangnan Liu, Keping Long, H. Vincent Poor

Proceedings of the IEEE Global Communications Conference, 2021

2020

Multi-Type Forest Change Detection Using BFAST and Monthly Landsat Time Series for Monitoring Spatiotemporal Dynamics of Forests in Subtropical Wetland.

Ling Wu, Zhaoliang Li, Xiangnan Liu, Lihong Zhu, Yibo Tang, Biyao Zhang, Boliang Xu, Meiling Liu, Yuanyuan Meng, Boyuan Liu

Remote. Sens., 2020

An Improved Spatiotemporal Data Fusion Method Using Surface Heterogeneity Information Based on ESTARFM.

Mengxue Liu, Xiangnan Liu, Xiaobin Dong, Bingyu Zhao, Xinyu Zou, Ling Wu, Hejie Wei

Remote. Sens., 2020

Analysis of ecological resilience to evaluate the inherent maintenance capacity of a forest ecosystem using a dense Landsat time series.

Yuanyuan Meng, Xiangnan Liu, Chao Ding, Boliang Xu, Gaoxiang Zhou, Lihong Zhu

Ecol. Informatics, 2020

Parallel Computing for Obtaining Regional Scale Rice Growth Conditions Based on WOFOST and Satellite Images.

Bingyu Zhao, Meiling Liu, Jianjun Wu, Xiangnan Liu, Mengxue Liu, Ling Wu

IEEE Access, 2020

2019

Long-Term Monitoring of Cropland Change near Dongting Lake, China, Using the LandTrendr Algorithm with Landsat Imagery.

Lihong Zhu, Xiangnan Liu, Ling Wu, Yibo Tang, Yuanyuan Meng

Remote. Sens., 2019

Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation.

Gaoxiang Zhou, Xiangnan Liu, Ming Liu

Remote. Sens., 2019

Detection of Rice Phenological Variations under Heavy Metal Stress by Means of Blended Landsat and MODIS Image Time Series.

Biyao Zhang, Xiangnan Liu, Meiling Liu, Yuanyuan Meng

Remote. Sens., 2019

An approach for heavy metal pollution detected from spatio-temporal stability of stress in rice using satellite images.

Meiling Liu, Andrew K. Skidmore, Tiejun Wang, Xiangnan Liu, Ling Wu, Lingwen Tian

Int. J. Appl. Earth Obs. Geoinformation, 2019

Collaborative inversion heavy metal stress in rice by using two-dimensional spectral feature space based on HJ-1 A HSI and radarsat-2 SAR remote sensing data.

Xuqing Li, Long Li, Xiangnan Liu

Int. J. Appl. Earth Obs. Geoinformation, 2019

2018

Scaling Correction of Remotely Sensed Leaf Area Index for Farmland Landscape Pattern With Multitype Spatial Heterogeneities Using Fractal Dimension and Contextural Parameters.

Ling Wu, Xiangnan Liu, Qiming Qin, Bingyu Zhao, Yujia Ma, Mengxue Liu, Tian Jiang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Finding the Key Periods for Assimilating HJ-1A/B CCD Data and the WOFOST Model to Evaluate Heavy Metal Stress in Rice.

Shuang Zhao, Xu Qian, Xiangnan Liu, Zhao Xu

Sensors, 2018

A New Vegetation Index Based on Multitemporal Sentinel-2 Images for Discriminating Heavy Metal Stress Levels in Rice.

Zhijiang Zhang, Meiling Liu, Xiangnan Liu, Gaoxiang Zhou

Sensors, 2018

Classification of Rice Heavy Metal Stress Levels Based on Phenological Characteristics Using Remote Sensing Time-Series Images and Data Mining Algorithms.

Tianjiao Liu, Xiangnan Liu, Meiling Liu, Ling Wu

Sensors, 2018

Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology.

Tianjiao Liu, Xiangnan Liu, Meiling Liu, Ling Wu

Sensors, 2018

Phenology-Based Residual Trend Analysis of MODIS-NDVI Time Series for Assessing Human-Induced Land Degradation.

Hao Chen, Xiangnan Liu, Chao Ding, Fang Huang

Sensors, 2018

A Modified Spatiotemporal Fusion Algorithm Using Phenological Information for Predicting Reflectance of Paddy Rice in Southern China.

Mengxue Liu, Xiangnan Liu, Ling Wu, Xinyu Zou, Tian Jiang, Bingyu Zhao

Remote. Sens., 2018

Method for Mapping Rice Fields in Complex Landscape Areas Based on Pre-Trained Convolutional Neural Network from HJ-1 A/B Data.

Tian Jiang, Xiangnan Liu, Ling Wu

ISPRS Int. J. Geo Inf., 2018

Study on the method of colour image noise reduction based on optimal channel-processing.

Yutan Wang, Yingpeng Dai, Xiangnan Liu, Bohan Liu, Xiaoyun Guo

IET Image Process., 2018

Overview of deep space laser communication.

Weiren Wu, Ming Chen, Zhe Zhang, Xiangnan Liu, Yuhui Dong

Sci. China Inf. Sci., 2018

Combination of Crop Growth Model and Radiation Transfer Model with Remote Sensing Data Assimilation for Fapar Estimation.

Gaoxiang Zhou, Ming Liu, Xiangnan Liu, Jonathan Li

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Identifying multiple stressors in regional agro-ecosystems based on sentinel-2 spectral indices time series.

Meiling Liu, Xiangnan Liu, Yuanyuan Meng, Andrew K. Skidmore, Tiejun Wang

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Energy Efficient Resource Allocation and Caching in Fog Radio Access Networks.

Haijun Zhang, Xiangnan Liu, Keping Long, Arumugam Nallanathan, Victor C. M. Leung

Proceedings of the IEEE Global Communications Conference, 2018

2017

Evaluating Heavy-Metal Stress Levels in Rice Using a Theoretical Model of Canopy-Air Temperature and Leaf Area Index Based on Remote Sensing.

Ming Jin, Xiangnan Liu, Biyao Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Distinguishing Heavy-Metal Stress Levels in Rice Using Synthetic Spectral Index Responses to Physiological Function Variations.

Ming Jin, Xiangnan Liu, Ling Wu, Meiling Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data.

Shuyuan Liu, Xiangnan Liu, Meiling Liu, Ling Wu, Chao Ding, Zhi Huang

Sensors, 2017

Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress.

Gaoxiang Zhou, Xiangnan Liu, Shuang Zhao, Ming Liu, Ling Wu

Remote. Sens., 2017

Temporal Interpolation of Satellite-Derived Leaf Area Index Time Series by Introducing Spatial-Temporal Constraints for Heterogeneous Grasslands.

Chao Ding, Xiangnan Liu, Fang Huang

Remote. Sens., 2017

Assessment of heavy metal stress using hyperspectral data.

Ping Wang, Fang Huang, Xiangnan Liu

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016

Optimizing the Temporal Scale in the Assimilation of Remote Sensing and WOFOST Model for Dynamically Monitoring Heavy Metal Stress in Rice.

Feng Liu, Xiangnan Liu, Ling Wu, Zhao Xu, Lu Gong

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model.

Zhi Huang, Xiangnan Liu, Ming Jin, Chao Ding, Jiale Jiang, Ling Wu

Sensors, 2016

Spatial Up-Scaling Correction for Leaf Area Index Based on the Fractal Theory.

Ling Wu, Qiming Qin, Xiangnan Liu, Huazhong Ren, Jianhua Wang, Xiao Po Zheng, Xin Ye, Yuejun Sun

Remote. Sens., 2016

Regional heavy metal pollution in crops by integrating physiological function variability with spatio-temporal stability using multi-temporal thermal remote sensing.

Meiling Liu, Xiangnan Liu, Biyao Zhang, Chao Ding

Int. J. Appl. Earth Obs. Geoinformation, 2016

2015

The Dynamic Assessment Model for Monitoring Cadmium Stress Levels in Rice Based on the Assimilation of Remote Sensing and the WOFOST Model.

Feng Liu, Xiangnan Liu, Liting Zhao, Chao Ding, Jiale Jiang, Ling Wu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Analyzing the Spatial Scaling Bias of Rice Leaf Area Index From Hyperspectral Data Using Wavelet-Fractal Technique.

Jiale Jiang, Xiangnan Liu, Chuanhao Liu, Ling Wu, Xiaopeng Xia, Meiling Liu, Zhihong Du

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Multivariable integration method for estimating sea surface salinity in coastal waters from in situ data and remotely sensed data using random forest algorithm.

Meiling Liu, Xiangnan Liu, Da Liu, Chao Ding, Jiale Jiang

Comput. Geosci., 2015

A hyperspectral index sensitive to subtle changes in the canopy chlorophyll content under arsenic stress.

Xuqing Li, Xiangnan Liu, Meiling Liu, Cuicui Wang, Xiaopeng Xia

Int. J. Appl. Earth Obs. Geoinformation, 2015

An improved assimilation method with stress factors incorporated in the WOFOST model for the efficient assessment of heavy metal stress levels in rice.

Ming Jin, Xiangnan Liu, Ling Wu, Meiling Liu

Int. J. Appl. Earth Obs. Geoinformation, 2015

Impact of Optical Preamplifier Beat Noise on Inter-Satellite Coherent Optical Communication System.

Xiangnan Liu, Chengyong Xiang, Liang Zhang, Yingfei Li

Proceedings of the OPTICS 2015, 2015

An improved BP neural network model for estimating Cd stress in rice using remote sensing data.

Jiale Jiang, Xiangnan Liu, Zhao Xu, Ming Jin, Feng Liu

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014

Evaluating total inorganic nitrogen in coastal waters through fusion of multi-temporal RADARSAT-2 and optical imagery using random forest algorithm.

Meiling Liu, Xiangnan Liu, Jin Li, Chao Ding, Jiale Jiang

Int. J. Appl. Earth Obs. Geoinformation, 2014

Assessment of Terrestrial Ecosystem Health in the Yellow River Basin.

Cuicui Wang, Xiangnan Liu, Weiguo Jiang, Wenjie Wang, Qiuling Li, Lihua Yuan, Ran Cao, Yunfei Zhang

Proceedings of the Geo-Informatics in Resource Management and Sustainable Ecosystem, 2014

2013

Integration of dynamic rainfall data with environmental factors to forecast debris flow using an improved GMDH model.

Hui Zhang, Xiangnan Liu, Erli Cai, Gang Huang, Chao Ding

Comput. Geosci., 2013

The assimilation of spectral sensing and the WOFOST model for the dynamic simulation of cadmium accumulation in rice tissues.

Ling Wu, Xiangnan Liu, Ping Wang, Botian Zhou, Meiling Liu, Xuqing Li

Int. J. Appl. Earth Obs. Geoinformation, 2013

A random forest model for estimating Canopy Chlorophyll Content in rice using hyperspectral measurements.

Xuqing Li, Xiangnan Liu, Zhihong Du, Cuicui Wang

Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012

Estimating regional heavy metal concentrations in rice by scaling up a field-scale heavy metal assessment model.

Meiling Liu, Xiangnan Liu, Jonathan Li, Ting Li

Int. J. Appl. Earth Obs. Geoinformation, 2012

Local search for learning algorithm in adaptive fuzzy inference system.

Hui Zhang, Xiangnan Liu

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011

Integrating spectral indices with environmental parameters for estimating heavy metal concentrations in rice using a dynamic fuzzy neural-network model.

Meiling Liu, Xiangnan Liu, Menxin Wu, Lufeng Li, Lina Xiu

Comput. Geosci., 2011

Wavelet-based detection of crop zinc stress assessment using hyperspectral reflectance.

Meiling Liu, Xiangnan Liu, Ling Wu, Liqing Duan, Binqing Zhong

Comput. Geosci., 2011

Monitoring stress levels on rice with heavy metal pollution from hyperspectral reflectance data using wavelet-fractal analysis.

Meiling Liu, Xiangnan Liu, Weicui Ding, Ling Wu

Int. J. Appl. Earth Obs. Geoinformation, 2011

A novel puncturing scheme for rate-compatible low-density parity-check codes.

Xiyuan Chen, Honglin Zhao, Yongkui Ma, Xiangnan Liu

Proceedings of the 6th International ICST Conference on Communications and Networking in China, 2011

2010

Estimating chlorophyll content of rice under soil contamination stress using BPNN.

Ping Wang, Fang Huang, Xiangnan Liu, Ling Zhao

Proceedings of the Sixth International Conference on Natural Computation, 2010

Estimating leaf chlorophyll content of rice under heavy metal stress using neural network model.

Meiling Liu, Xiangnan Liu, Binqing Zhong, Shi Cao

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2006

Remote Sensing and GIS for Identifying and Monitoring the Environmental Factors Associated with Vector-borne Disease: An Overview.

Wenhua Zeng, Xia Cui, Xiangnan Liu, Haishan Cui, Ping Wang

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Study on Urban House Information Extraction Automatically from Quick Bird Images based on Space Semantic Model.

Li Guan, Ping Wang, Fang Huang, Xiangnan Liu

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006