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Lin Liu 0005
Person information
- affiliation: University of Cincinnati, Department of Geography, OH, USA
- affiliation (former): Sun Yat-sen University, School of Geography, Guangzhou, China
Other persons with the same name
- Lin Liu (aka: Liu Lin) — disambiguation page
- Lin Liu 0001 — Tsinghua University, School of Software, Beijing, China
- Lin Liu 0002 — Université de Montréal, Département de Biochimie, Canada
- Lin Liu 0003
— University of South Australia, Mawson Lakes, Australia
- Lin Liu 0004 — Stony Brook University, NY, USA
- Lin Liu 0006
- Lin Liu 0007
- Lin Liu 0008
- Lin Liu 0009
- Lin Liu 0010
- Lin Liu 0011
- Lin Liu 0012 — MediaTek, Inc., Hsinchu, Taiwan
- Lin Liu 0013
- Lin Liu 0014 — Wuhan University of Technology Library, Wuhan, China
- Lin Liu 0015
- Lin Liu 0016
- Lin Liu 0017 — iFLYTEK Co. Ltd, iFLYTEK Research, Hefei, China
- Lin Liu 0018
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2020 – today
- 2023
- [j49]Lin Liu
Explaining Theft Using Offenders' Activity Space Inferred from Residents' Mobile Phone Data. ISPRS Int. J. Geo Inf. 13(1): 8 (2023) - 2022
- [j48]Han Yue
Detecting People on the Street and the Streetscape Physical Environment from Baidu Street View Images and Their Effects on Community-Level Street Crime in a Chinese City. ISPRS Int. J. Geo Inf. 11(3): 151 (2022) - [j47]Chunxia Zhang
Contact-Fraud Victimization among Urban Seniors: An Analysis of Multilevel Influencing Factors. ISPRS Int. J. Geo Inf. 11(3): 201 (2022) - [j46]Zhi He
Multiframe Video Satellite Image Super-Resolution via Attention-Based Residual Learning. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j45]Xu Zhang, Lin Liu, Minxuan Lan
Interpretable machine learning models for crime prediction. Comput. Environ. Urban Syst. 94: 101789 (2022) - 2021
- [j44]Jingjing Cao, Kai Liu
Combining UAV-based hyperspectral and LiDAR data for mangrove species classification using the rotation forest algorithm. Int. J. Appl. Earth Obs. Geoinformation 102: 102414 (2021) - [j43]Yanan Du, Haiqiang Fu, Lin Liu, Guangcai Feng, Xing Peng, Debao Wen:
Orbit error removal in InSAR/MTInSAR with a patch-based polynomial model. Int. J. Appl. Earth Obs. Geoinformation 102: 102438 (2021) - [j42]Chao Jiang
Discovering Spatial-Temporal Indication of Crime Association (STICA). ISPRS Int. J. Geo Inf. 10(2): 67 (2021) - [j41]Chong Xu, Xi Chen
Assessing Impacts of New Subway Stations on Urban Thefts in the Surrounding Areas. ISPRS Int. J. Geo Inf. 10(10): 632 (2021) - [j40]Dongping Long
Do Migrant and Native Robbers Target Different Places? ISPRS Int. J. Geo Inf. 10(11): 771 (2021) - [j39]Yanan Du
Continued Monitoring and Modeling of Xingfeng Solid Waste Landfill Settlement, China, Based on Multiplatform SAR Images. Remote. Sens. 13(16): 3286 (2021) - [j38]Luzi Xiao, Stijn Ruiter, Lin Liu, Guangwen Song, Suhong Zhou:
Burglars blocked by barriers? The impact of physical and social barriers on residential burglars' target location choices in China. Comput. Environ. Urban Syst. 86: 101582 (2021) - [j37]Hanlin Zhou
Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery. Comput. Environ. Urban Syst. 88: 101631 (2021) - 2020
- [j36]Xu Zhang
Comparison of Machine Learning Algorithms for Predicting Crime Hotspots. IEEE Access 8: 181302-181310 (2020) - [j35]Bo Yang
A spatio-temporal method for crime prediction using historical crime data and transitional zones identified from nightlight imagery. Int. J. Geogr. Inf. Sci. 34(9): 1740-1764 (2020) - [j34]Jianguo Chen, Lin Liu
Integrative Analysis of Spatial Heterogeneity and Overdispersion of Crime with a Geographically Weighted Negative Binomial Model. ISPRS Int. J. Geo Inf. 9(1): 60 (2020) - [j33]Jianguo Chen, Lin Liu
The Spatial Heterogeneity of Factors of Drug Dealing: A Case Study from ZG, China. ISPRS Int. J. Geo Inf. 9(4): 205 (2020) - [j32]Hongjie Yu
Crime Prediction with Historical Crime and Movement Data of Potential Offenders Using a Spatio-Temporal Cokriging Method. ISPRS Int. J. Geo Inf. 9(12): 732 (2020) - [j31]Yanan Du
Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data. Remote. Sens. 12(2): 299 (2020) - [j30]Yuanhui Zhu
Integration of GF2 Optical, GF3 SAR, and UAV Data for Estimating Aboveground Biomass of China's Largest Artificially Planted Mangroves. Remote. Sens. 12(12): 2039 (2020) - [j29]Yuanhui Zhu
Estimating and Mapping Mangrove Biomass Dynamic Change Using WorldView-2 Images and Digital Surface Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 2123-2134 (2020) - [j28]Qiuping Li
Optimizing Mixed Pedestrian-Vehicle Evacuation via Adaptive Network Reconfiguration. IEEE Trans. Intell. Transp. Syst. 21(3): 1023-1033 (2020) - [j27]Lin Liu, Minxuan Lan
Assessing the effects of bus stop relocation on street robbery. Comput. Environ. Urban Syst. 80: 101455 (2020)
2010 – 2019
- 2019
- [j26]Yanjun Wang
A Hierarchical unsupervised method for power line classification from airborne LiDAR data. Int. J. Digit. Earth 12(12): 1406-1422 (2019) - [j25]Jiaxin Feng
An Examination of Spatial Differences between Migrant and Native Offenders in Committing Violent Crimes in a Large Chinese City. ISPRS Int. J. Geo Inf. 8(3): 119 (2019) - [j24]Zengli Wang
Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction. ISPRS Int. J. Geo Inf. 8(9): 383 (2019) - [j23]Zengli Wang
How Is the Confidentiality of Crime Locations Affected by Parameters in Kernel Density Estimation? ISPRS Int. J. Geo Inf. 8(12): 544 (2019) - [j22]Yanjun Wang
A Survey of Mobile Laser Scanning Applications and Key Techniques over Urban Areas. Remote. Sens. 11(13): 1540 (2019) - [j21]Hanlin Zhou
Assessing the Impact of Nightlight Gradients on Street Robbery and Burglary in Cincinnati of Ohio State, USA. Remote. Sens. 11(17): 1958 (2019) - [c5]Yanan Du, Lin Liu, Guangcai Feng, Xing Peng, Hongyu Liang, Yuanhui Zhu
Time-Series Landslide Monitoring Based on Stamps-Sbas: A Case Study in Lushan, Taiwan. IGARSS 2019: 9622-9625 - 2018
- [j20]Luzi Xiao
Journey-to-Crime Distances of Residential Burglars in China Disentangled: Origin and Destination Effects. ISPRS Int. J. Geo Inf. 7(8): 325 (2018) - [j19]Jingjing Cao
Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models. Remote. Sens. 10(1): 89 (2018) - [j18]Yanjun Wang
Systematic Comparison of Power Line Classification Methods from ALS and MLS Point Cloud Data. Remote. Sens. 10(8): 1222 (2018) - [j17]Zhi He
Hyperspectral Image Super-Resolution Inspired by Deep Laplacian Pyramid Network. Remote. Sens. 10(12): 1939 (2018) - [j16]Jingjing Cao
Identifying Mangrove Species Using Field Close-Range Snapshot Hyperspectral Imaging and Machine-Learning Techniques. Remote. Sens. 10(12): 2047 (2018) - [j15]Zhi He
Kernel Low-Rank Multitask Learning in Variational Mode Decomposition Domain for Multi-/Hyperspectral Classification. IEEE Trans. Geosci. Remote. Sens. 56(7): 4193-4208 (2018) - 2017
- [j14]Jianguo Chen
Modeling Spatial Effect in Residential Burglary: A Case Study from ZG City, China. ISPRS Int. J. Geo Inf. 6(5): 138 (2017) - [j13]Jianguo Chen
Spatial Variation Relationship between Floating Population and Residential Burglary: A Case Study from ZG, China. ISPRS Int. J. Geo Inf. 6(8): 246 (2017) - [j12]Yanjun Wang
Supervised Classification of Power Lines from Airborne LiDAR Data in Urban Areas. Remote. Sens. 9(8): 771 (2017) - [j11]Yuanhui Zhu
Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine Learning Algorithms. Remote. Sens. 9(10): 1060 (2017) - [j10]Zhi He, Jun Li
Three-dimensional empirical mode decomposition (TEMD): A fast approach motivated by separable filters. Signal Process. 131: 307-319 (2017) - [c4]Zhi He, Jun Li, Lin Liu:
Hyperspectral classification based on kernel low-rank multitask learning. IGARSS 2017: 3206-3209 - 2016
- [j9]Shaoquan Zhang, Jun Li
Hyperspectral Unmixing Based on Local Collaborative Sparse Regression. IEEE Geosci. Remote. Sens. Lett. 13(5): 631-635 (2016) - [j8]Zhi He
Learning group-based sparse and low-rank representation for hyperspectral image classification. Pattern Recognit. 60: 1041-1056 (2016) - [j7]Zhi He
Tensor Block-Sparsity Based Representation for Spectral-Spatial Hyperspectral Image Classification. Remote. Sens. 8(8): 636 (2016) - [j6]Zhi He
Low-rank group inspired dictionary learning for hyperspectral image classification. Signal Process. 120: 209-221 (2016) - [j5]Jun Li
Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 54(10): 6076-6090 (2016) - [j4]Zhi He, Jun Li
Fast Three-Dimensional Empirical Mode Decomposition of Hyperspectral Images for Class-Oriented Multitask Learning. IEEE Trans. Geosci. Remote. Sens. 54(11): 6625-6643 (2016) - [c3]Zhi He, Wei Zhou, Jun Li
Multi-way projections-based reconstruction for hyperspectral image denoising. IGARSS 2016: 2913-2916 - 2015
- [j3]Yuanhui Zhu
Retrieval of Mangrove Aboveground Biomass at the Individual Species Level with WorldView-2 Images. Remote. Sens. 7(9): 12192-12214 (2015) - [c2]Jun Li, José M. Bioucas-Dias, Antonio Plaza
Robust collaborative nonnegative matrix factorization for hyperspectra unmixing (R-CONMF). WHISPERS 2015: 1-4 - [c1]Zhi He, Lin Liu, Yuanhui Zhu
Anisotropically foveated nonlocal weights for joint sparse representation-based hyperspectral classification. WHISPERS 2015: 1-4 - 2014
- [j2]Qiuping Li, Hongchao Fan, Xuechen Luan, Bisheng Yang
Polygon-based approach for extracting multilane roads from OpenStreetMap urban road networks. Int. J. Geogr. Inf. Sci. 28(11): 2200-2219 (2014)
2000 – 2009
- 2003
- [j1]Bin Li, Qiming Zhou, Yuemin Ding, Lin Liu, Hanming Tu, Qin Tang:
Expert Evaluation as Means of Promoting GIS Software Development. Ann. GIS 9(1-2): 22-28 (2003)
Coauthor Index
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