Xinlian Liang

发表

TOWARDS AUTOMATIC SINGLE-SENSOR MAPPING BY MULTISPECTRAL AIRBORNE LASER SCANNING

P. Litkey, M. Vastaranta, M. Holopainen, 2016 .

Terrestrial laser scanning in forest inventories

M. Vastaranta, M. Holopainen, J. Hyyppä, 2016 .

Detecting and characterizing downed dead wood using terrestrial laser scanning

M. Vastaranta, M. Holopainen, J. Hyyppä, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

Photogrammetric measurement of tree stems from vertical fisheye images

Eija Honkavaara, Xinlian Liang, Antonio Maria Garcia Tommaselli, 2017 .

Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds

M. Vastaranta, M. Holopainen, J. Hyyppä, 2013 .

Feasibility of Terrestrial Laser Scanning for Plotwise Forest Inventories

Xinlian Liang, Xinlian Liang, 2013 .

DECIDUOUS-CONIFEROUS TREE CLASSIFICATION USING DIFFERENCE BETWEEN FIRST AND LAST PULSE LASER SIGNATURES

Juha Hyyppä, Xinlian Liang, Leena Matikainen, 2007 .

Tree mapping using airborne, terrestrial and mobile laser scanning – A case study in a heterogeneous urban forest

Juha Hyyppä, Xiaowei Yu, Xinlian Liang, 2013 .

Is field-measured tree height as reliable as believed – A comparison study of tree height estimates from field measurement, airborne laser scanning and terrestrial laser scanning in a boreal forest

Juha Hyyppä, Ruizhi Chen, Jingbin Liu, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

Single-scan TLS methods for forest parameter retrieval

Juha Hyyppä, Xinlian Liang, Harri Kaartinen, 2008 .

Feasibility of Google Tango and Kinect for Crowdsourcing Forestry Information

Juha Hyyppä, Xiaowei Yu, Anttoni Jaakkola, 2017 .

A Clustering Framework for Monitoring Circadian Rhythm in Structural Dynamics in Plants From Terrestrial Laser Scanning Time Series

P. Litkey, N. Pfeifer, Xinlian Liang, 2019, Front. Plant Sci..

In situ biomass estimation at tree and plot levels: What did data record and what did algorithms derive from terrestrial and aerial point clouds in boreal forest

Juha Hyyppä, Xiaowei Yu, Xinlian Liang, 2019, Remote Sensing of Environment.

Estimation of Forest Stock and Yield Using LiDAR Data

Juha Hyyppä, Anttoni Jaakkola, Xinlian Liang, 2013 .

Accuracy of automatic tree extraction using airborne laser scanner data

Juha Hyyppä, Xiaowei Yu, Xinlian Liang, 2008 .

Assessing branching structure for biomass and wood quality estimation using terrestrial laser scanning point clouds

M. Vastaranta, M. Holopainen, J. Hyyppä, 2018, Canadian Journal of Remote Sensing.

Assessing the Effects of Sample Size on Parametrizing a Taper Curve Equation and the Resultant Stem-Volume Estimates

M. Vastaranta, M. Holopainen, J. Hyyppä, 2019, Forests.

Variability of wood properties using airborne and terrestrial laser scanning

Juha Hyyppä, Nicholas C. Coops, Xinlian Liang, 2019 .

Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements

Eija Honkavaara, Xiaowei Yu, Xinlian Liang, 2019, Forest Ecosystems.

Deriving Merchantable Volume in Poplar through a Localized Tapering Function from Non-Destructive Terrestrial Laser Scanning

Xinlian Liang, Weizheng Li, Clive Welham, 2016 .

AUTOMATIC PLOT-WISE TREE LOCATION MAPPING USING SINGLE-SCAN TERRESTRIAL LASER SCANNING

Juha Hyyppä, Xinlian Liang, Harri Kaartinen, 2011 .

Accurate derivation of stem curve and volume using backpack mobile laser scanning

Juha Hyyppä, Xiaowei Yu, Xinlian Liang, 2020, ISPRS Journal of Photogrammetry and Remote Sensing.

Quantification of occlusions influencing the tree stem curve retrieving from single-scan terrestrial laser scanning data

A. Skidmore, Tiejun Wang, Xinlian Liang, 2019, Forest Ecosystems.

AUTOMATIC PLOTWISE TREE LOCATION MAPPING USING SINGLE-SCAN TERRESTRIAL LASER SCANNING

P. Litkey, M. Holopainen, J. Hyyppä, 2011 .

Temporal and spatial variations of global ionospheric total electron content under various solar conditions

J. Hyyppä, Xinlian Liang, Ruizhi Chen, 2017, Journal of Geodesy.

Assessing log geometry and wood quality in standing timber using terrestrial laser-scanning point clouds

M. Vastaranta, M. Holopainen, J. Hyyppä, 2018, Forestry: An International Journal of Forest Research.

SFM-Forest-Benchmark project: The benchmarking of image-based point cloud for forest inventory

Markus Hollaus, Xinlian Liang, Yunsheng Wang, 2020 .

Final report International Benchmarking of Terrestrial Image-based Point Clouds for Forestry ISPRS Scientific initiative 2019

M. Hollaus, Xinlian Liang, Karel, 2020 .

Cloth simulation-based construction of pit-free canopy height models from airborne LiDAR data

Xinlian Liang, G. Yan, J. Shao, 2020, Forest Ecosystems.

Subsidence Detection for Urban Roads Using Mobile Laser Scanner Data

Jixian Zhang, Xinlian Liang, W. Han, 2022, Remote Sensing.

Comparing features of single and multi-photon lidar in boreal forests

J. Hyyppä, Xiaowei Yu, H. Kaartinen, 2020 .

Close-Range Remote Sensing of Forests: The state of the art, challenges, and opportunities for systems and data acquisitions

E. Honkavaara, M. Holopainen, J. Hyyppä, 2022, IEEE Geoscience and Remote Sensing Magazine.

TLS-bridged co-prediction of tree-level multifarious stem structure variables from worldview-2 panchromatic imagery: a case study of the boreal forest

Lei Yan, Yi Lin, Xing Fang, 2017, Int. J. Digit. Earth.

Forest Inventory Using Laser Scanning

Juha Hyyppä, Xiaowei Yu, Anttoni Jaakkola, 2018 .

International benchmarking of terrestrial laser scanning approaches for forest inventories

Norbert Pfeifer, Bisheng Yang, Xinlian Liang, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

In-situ measurements from mobile platforms: An emerging approach to address the old challenges associated with forest inventories

Xinlian Liang, Harri Kaartinen, Yunsheng Wang, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Detecting Changes in Forest Structure over Time with Bi-Temporal Terrestrial Laser Scanning Data

Juha Hyyppä, Xinlian Liang, Harri Kaartinen, 2012, ISPRS Int. J. Geo Inf..

The Use of a Mobile Laser Scanning System for Mapping Large Forest Plots

Juha Hyyppä, Xiaowei Yu, Anttoni Jaakkola, 2014, IEEE Geoscience and Remote Sensing Letters.

QUALITY ANALYSIS AND CORRECTION OF MOBILE BACKPACK LASER SCANNING DATA

J. Hyyppä, A. Kukko, J. Hyyppä, 2016 .

Accuracy of Kinematic Positioning Using Global Satellite Navigation Systems under Forest Canopies

Juha Hyyppä, Jingbin Liu, Xiaowei Yu, 2015 .

Hand-Held Personal Laser Scanning

J. Hyyppä, Xinlian Liang, A. Kukko, 2021 .

Complex Transition of Double-Diffusive Convection in a Rectangular Enclosure with Height-to-Length Ratio Equal to 4: Part I

Xinlian Liang, Xian Liang, D. Fu, 2009 .

International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning

Juha Hyyppä, Jingbin Liu, Xiaowei Yu, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes

Juha Hyyppä, Eija Honkavaara, Xiaowei Yu, 2015, Remote. Sens..

Novel low-cost mobile mapping systems for forest inventories as terrestrial laser scanning alternatives

Xinlian Liang, M. Mokroš, P. Surový, 2021, International Journal of Applied Earth Observation and Geoinformation.

Evaluation of Close-Range Photogrammetry Image Collection Methods for Estimating Tree Diameters

Xinlian Liang, Peter Surový, Martin Mokros, 2018, ISPRS Int. J. Geo Inf..

Voxel-Based Automatic Tree Detection and Parameter Retrieval from Terrestrial Laser Scans for Plot-Wise Forest Inventory

Xinlian Liang, Matti Lehtomäki, Gábor Brolly, 2021, Remote. Sens..

Is field-measured tree height as reliable as believed – Part II, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous forest

Xinlian Liang, Mateo Gašparović, Ivan Balenović, 2020 .

Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees

Juha Hyyppä, Xiaowei Yu, Anttoni Jaakkola, 2017 .

Forest Data Collection Using Terrestrial Image-Based Point Clouds From a Handheld Camera Compared to Terrestrial and Personal Laser Scanning

Juha Hyyppä, Eija Honkavaara, Jingbin Liu, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Automated Stem Curve Measurement Using Terrestrial Laser Scanning

Juha Hyyppä, Xiaowei Yu, Xinlian Liang, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Possibilities of a Personal Laser Scanning System for Forest Mapping and Ecosystem Services

Juha Hyyppä, Xiaowei Yu, Anttoni Jaakkola, 2014, Sensors.

Automatic Stem Mapping by Merging Several Terrestrial Laser Scans at the Feature and Decision Levels

Juha Hyyppä, Xinlian Liang, J. Hyyppä, 2013, Sensors.

Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning

Juha Hyyppä, Xinlian Liang, Harri Kaartinen, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Stem curve measurement using terrestrial laser scanning

Juha Hyyppä, Xinlian Liang, Ville Kankare, 2011 .

Under-canopy UAV laser scanning for accurate forest field measurements

Juha Hyyppä, Teemu Hakala, Xiaowei Yu, 2020, ISPRS Journal of Photogrammetry and Remote Sensing.

Individual tree extraction from terrestrial laser scanning data via graph pathing

Xinlian Liang, O. Martin-Ducup, G. Mofack, 2021, Forest Ecosystems.

Hand-Held Personal Laser Scanning – Current Status and Perspectives for Forest Inventory Application

J. Hyyppä, Xinlian Liang, A. Kukko, 2020 .

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Juha Hyyppä, Anttoni Jaakkola, Xinlian Liang, 2016 .

Diameter distribution estimation with laser scanning based multisource single tree inventory

Ville Kankare, Mikko Vastaranta, Ville Kankare, 2015 .

Automated fusion of forest airborne and terrestrial point clouds through canopy density analysis

Bisheng Yang, Ronggang Huang, Wenxia Dai, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning

Juha Hyyppä, Xinlian Liang, Yunsheng Wang, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

An Approach to Tree Species Classification Using Voxel Neighborhood Density-Based Subsampling of Multiscan Terrestrial Lidar Data

Francesca Bovolo, Aravind Harikumar, Xinlian Liang, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Fast registration of forest terrestrial laser scans using key points detected from crowns and stems

Bisheng Yang, Xinlian Liang, Antero Kukko, 2020, Int. J. Digit. Earth.

Automated matching of multiple terrestrial laser scans for stem mapping without the use of artificial references

Juha Hyyppä, Ruizhi Chen, Jingbin Liu, 2017, Int. J. Appl. Earth Obs. Geoinformation.

Automated registration of wide-baseline point clouds in forests using discrete overlap search

J. Hyyppä, Xiaowei Yu, H. Kaartinen, 2022, Forest Ecosystems.

Improved 3D Stem Mapping Method and Elliptic Hypothesis-Based DBH Estimation from Terrestrial Laser Scanning Data

Jian Tang, Chuang Qian, Hui Liu, 2020, Remote. Sens..

Autonomous Collection of Forest Field Reference - The Outlook and a First Step with UAV Laser Scanning

Juha Hyyppä, Xiaowei Yu, Anttoni Jaakkola, 2017, Remote. Sens..

Outlook for the Single-Tree-Level Forest Inventory in Nordic Countries

Juha Hyyppä, Xinlian Liang, Harri Kaartinen, 2017 .

Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests

Juha Hyyppä, Xinlian Liang, Ninni Saarinen, 2019, Remote. Sens..

Reciprocal Estimation of Pedestrian Location and Motion State toward a Smartphone Geo-Context Computing Solution

Juha Hyyppä, Ruizhi Chen, Jingbin Liu, 2015, Micromachines.

An Integrated GNSS/INS/LiDAR-SLAM Positioning Method for Highly Accurate Forest Stem Mapping

Hui Liu, Yuwei Chen, Jian Tang, 2016, Remote. Sens..

Waveform features for tree identification

Xinlian Liang, Juho Lumme, Paula Litkey, 2007 .

Cloth simulation-based construction of pit-free canopy height models from airborne LiDAR data

Xinlian Liang, G. Yan, Ronghai Hu, 2020, Forest Ecosystems.

3D Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data

Xinlian Liang, Harri Kaartinen, Antero Kukko, 2013, Remote. Sens..

Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data

H. Hyyppä, H. Kaartinen, Xinlian Liang, 2013 .

Assessment of Close-Range Remote Sensing Methods for DTM Estimation in a Lowland Deciduous Forest

Xinlian Liang, Ivan Balenovic, Mateo Gasparovic, 2021, Remote. Sens..

Filtering Airborne LiDAR Data Through Complementary Cloth Simulation and Progressive TIN Densification Filters

Guangjian Yan, Xinlian Liang, Jianbo Qi, 2019, Remote. Sens..

Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation

J. Hyyppä, Xiaowei Yu, H. Kaartinen, 2021 .

Integrity Monitoring for Bluetooth Low Energy Beacons RSSI Based Indoor Positioning

Hong Shu, Xinlian Liang, Haiyun Yao, 2020, IEEE Access.

Improving TLS-based stem volume estimates by field measurements

Annika Kangas, Matti Lehtomäki, Pasi Raumonen, 2021, Comput. Electron. Agric..

Jukuri, open repository of the Natural Resources Institute Finland (Luke)

Xinlian Liang, P. Raumonen, T. Pitkänen, 2020 .

Airborne Laser Scanning Outperforms the Alternative 3D Techniques in Capturing Variation in Tree Height and Forest Density in Southern Boreal Forests

Juha Hyyppä, Eija Honkavaara, Xiaowei Yu, 2018 .

BIOMASS ESTIMATION OF INDIVIDUAL TREES USING STEM AND CROWN DIAMETER TLS MEASUREMENTS

Juha Hyyppä, Xiaowei Yu, Xinlian Liang, 2012 .

The use of ALS, TLS and VLS measurements in mapping and monitoring urban trees

Juha Hyyppä, Xiaowei Yu, Anttoni Jaakkola, 2011, 2011 Joint Urban Remote Sensing Event.

Geostatistical modeling using LiDAR-derived prior knowledge with SPOT-6 data to estimate temperate forest canopy cover and above-ground biomass via stratified random sampling

Zheng Niu, Wang Li, Xinlian Liang, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Measuring Leaf Water Content with Dual-Wavelength Intensity Data from Terrestrial Laser Scanners

Juha Hyyppä, Xinlian Liang, Harri Kaartinen, 2016, Remote. Sens..

A Progressive Plane Detection Filtering Method for Airborne LiDAR Data in Forested Landscapes

Xinlian Liang, Sisi Yu, Shangshu Cai, 2023, Forests.

The Use of a Hand-Held Camera for Individual Tree 3D Mapping in Forest Sample Plots

Juha Hyyppä, Eija Honkavaara, Jingbin Liu, 2014, Remote. Sens..

3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving

Xinlian Liang, Jianzhu Huai, Yiwen Chen, 2023, ArXiv.

Can global navigation satellite system signals reveal the ecological attributes of forests?

Juha Hyyppä, Jingbin Liu, Xiaowei Yu, 2016, Int. J. Appl. Earth Obs. Geoinformation.

CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description

J. Hyyppä, Xinlian Liang, Ruizhi Chen, 2020, arXiv.org.

Interest point detection from multi-beam light detection and ranging point cloud using unsupervised convolutional neural network

Yunsheng Wang, Ruizhi Chen, Qian Zhang, 2020, IET Image Process..

A Benchmark of Absolute and Relative Positioning Solutions in GNSS Denied Environments

Xinlian Liang, Yunshen Wang, Liang Chen, 2024, IEEE Internet of Things Journal.

A Novel GNSS Technique for Predicting Boreal Forest Attributes at Low Cost

Juha Hyyppä, Jingbin Liu, Xiaowei Yu, 2017, IEEE Transactions on Geoscience and Remote Sensing.