武汉大学测绘遥感信息工程国家重点实验室导师教师师资介绍简介-梁欣廉

删除或更新信息，请邮件至freekaoyan#163.com(#换成@)

本站小编 Free考研考试/2021-07-21

教师博客

个人简介 Personal profile

梁欣廉，武汉大学教授, 博士生导师，国家高水平海外人才青年项目入选者。

2013年于芬兰阿尔托大学（Aalto University）以优秀博士论文成绩取得博士学位。主要研究方向为多源支持感知与认知，依托大数据、机器学习等技术，利用无人机、移动平台、主被动传感器实现复杂场景信息的感知与认知。重点研究以森林为代表的高复杂、弱信号环境下自主感知与认知相关的软、硬件体系及相关理论，实现碳存储、生物多样性等森林生态服务功能评估关键信息的智能获取。作为主要执行人开展多项国际合作项目，如欧洲空间数据组织的地基激光雷达与森林应用国际测评等。研究成果受到业界和媒体广泛关注。截止2020年11月，发表SCI论文60余篇，其中第一／通讯作者论文20篇，包括ESI高被引论文3篇。ISI检索总引用2500余次, H指数23。具有10余年国际研究、教学、交流合作经验。指导中国、芬兰、意大利、克罗地亚等国10余名博士生。担任国际摄影测量协会（International Society for Photogrammetry and Remote Sensing）专题信息提取工作组主席，SCI一区期刊Forest Ecosystems副主编，为国际电气与电子工程师协会（IEEE）高级会员。

课题组招收博士后研究员、博士生、硕士生，欢迎计算机、电子、环境、测绘、遥感、导航、基础学科等专业同学申请。博士后工资及福利待遇按国家和武汉大学博士后相关规定从优考虑，依据申请人的学术成绩和工作能力，年薪18-30万，特别优秀者可面议，培养期2-3年，出站考核合格优先转为武汉大学相关科研工作岗位。博士后期间学校协助办理落户等手续，提供博士后标准福利待遇，包括五险一金、博士后公寓或者住房补贴，以及子女入学便利。欢迎有抱负、有想法、有毅力的同学加入我们的团队，开展多源感知与认知前沿及创新性研究。简历请投送至xinlian_liang@hotmail.com。

教育经历 Personal profile
1998-2002
武汉大学,>测绘工程>学士学位>本科(学士)

2002-2005
中国测绘科学研究院>摄影测量与遥感>硕士>研究生(硕士)毕业

2006-2013
阿尔托大学 (Aalto University)>空间信息>博士>研究生(博士)毕业

社会兼职Personal profile

IEEE senior member

国际组织任职
? 自2016 工作组主席，国际摄影测量协会 (Chair of WG “Thematic Information Extraction”, International Society for Photogrammetry and Remote Sensing, ISPRS)

杂志编委
?? ? Forest Ecosystems (web of science listed, IF 3.645, 一区)
?? ? Remote Sensing (web of science listed, IF 5.353, 二区)

客座编辑
? 2020 三维森林遥感：进展与展望（3D Remote Sensing for Forests – Progress and Perspective)。
? 2019 遥感与精细林业(Remote Sensing Techniques for Precision Forestry)
? 2017 激光扫描 (Laser Scanning in Applied Science)
? 2017 多时相遥感的林业应用 (Multitemporal Remote Sensing for Forestry in Remote Sensing)
? 2017 光谱与三维技术前沿 (Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions in Remote Sensing)
? 2015 地面点云与森林调查 (Forest Ground Observations Through Terrestrial Point Clouds in Forestry)

工作经历 Personal profile
[1] 2021·····至今
测绘遥感信息工程国家重点实验室>武汉大学>在职

团队成员 Personal profile
多源感知与认知科研团队

蔡尚书

姚海云

张庆军

王旭

修田雨

戚瀚文

伍宜丹

研究方向 Personal profile
多源支持感知与认知，依托大数据、机器学习等技术，利用无人机、移动平台、主被动传感器实现复杂场景信息的感知与认知。
重点研究以森林为代表的高复杂、弱信号环境下自主感知与认知相关的软、硬件体系及相关理论，实现碳存储、生物多样性等森林生态服务功能评估关键信息的智能获取。

访问量：最后更新时间：--

教师博客

研究领域
[1]多源支持感知与认知，依托大数据、机器学习等技术，利用无人机、移动平台、主被动传感器实现复杂场景信息的感知与认知。
[2]重点研究以森林为代表的高复杂、弱信号环境下自主感知与认知相关的软、硬件体系及相关理论，实现碳存储、生物多样性等森林生态服务功能评估关键信息的智能获取。

论文成果
[1]. Gang Xu,Tianyu Xiu,Xi Li,Xinlian Liang,Limin Jiao Lockdown induced night-time light dynamics during the COVID-19 epidemic in global megacities. International Journal of Applied Earth Observation and Geoinformation. 102. 102421.
[2]. Wang, Y., Kukko, A., Hyypp?, E., Hakala, T., Py?r?l?, J., Lehtom?ki, M., El Issaoui, A., Yu, X., Kaartinen, H., Liang, X., Hyypp?, J. Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation. Forest Ecosystems. 10. 2021. PDF: https://forestecosyst.springeropen.com/track/pdf/10.1186/s40663-021-00290-3.pdf.
[3]. Balenovi?, I., Liang, X., Jurjevi?, L., Hyypp?, J., Seletkovi?, A. and Kukko, A. Hand-Held Personal Laser Scanning – Current Status and Perspectives for Forest Inventory Application. Croatian Journal of Forest Engineering.. 42 (1). 2021. PDF: http://www.crojfe.com/site/assets/files/4514/balenovic_165-183.pdf.
[4]. Jurjevi?, L., Liang, X., Balenovi?, I., Ga?parovi?, M. 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. ISPRS Journal of Photogrammetry and Remote Sensing. 169. 2020.
[5]. Y Yao, H., Shu, H., Liang, X., Yan, H., Sun, H. Integrity Monitoring for Bluetooth Low Energy Beacons RSSI Based Indoor Positioning. IEEE Access. 3. 215173 - 215191. 2020.
MORE+

专利
暂无内容

著作成果
暂无内容

科研项目
暂无内容

科研团队
[1]. 多源感知与认知科研团队

访问量：最后更新时间：--

教师博客

研究领域
[1]多源支持感知与认知，依托大数据、机器学习等技术，利用无人机、移动平台、主被动传感器实现复杂场景信息的感知与认知。
[2]重点研究以森林为代表的高复杂、弱信号环境下自主感知与认知相关的软、硬件体系及相关理论，实现碳存储、生物多样性等森林生态服务功能评估关键信息的智能获取。

访问量：最后更新时间：--

教师博客

论文成果
[1]. Gang Xu,Tianyu Xiu,Xi Li,Xinlian Liang,Limin Jiao Lockdown induced night-time light dynamics during the COVID-19 epidemic in global megacities. International Journal of Applied Earth Observation and Geoinformation. 102. 102421.
[2]. Wang, Y., Kukko, A., Hyypp?, E., Hakala, T., Py?r?l?, J., Lehtom?ki, M., El Issaoui, A., Yu, X., Kaartinen, H., Liang, X., Hyypp?, J. Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation. Forest Ecosystems. 10. 2021. PDF: https://forestecosyst.springeropen.com/track/pdf/10.1186/s40663-021-00290-3.pdf.
[3]. Balenovi?, I., Liang, X., Jurjevi?, L., Hyypp?, J., Seletkovi?, A. and Kukko, A. Hand-Held Personal Laser Scanning – Current Status and Perspectives for Forest Inventory Application. Croatian Journal of Forest Engineering.. 42 (1). 2021. PDF: http://www.crojfe.com/site/assets/files/4514/balenovic_165-183.pdf.
[4]. Jurjevi?, L., Liang, X., Balenovi?, I., Ga?parovi?, M. 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. ISPRS Journal of Photogrammetry and Remote Sensing. 169. 2020.
[5]. Y Yao, H., Shu, H., Liang, X., Yan, H., Sun, H. Integrity Monitoring for Bluetooth Low Energy Beacons RSSI Based Indoor Positioning. IEEE Access. 3. 215173 - 215191. 2020.
[6]. Hyypp?, E., Hyypp?, J., Hakala, T., Kukko, A., Wulder, M.A., White, J.C., Py?r?l?, J., Yu, X., Wang, Y., Virtanen, J.P. Pohjavirta, O., Liang, X., Holopainen, M., Kaartinen, H. Under-canopy UAV laser scanning for accurate forest field measurements. ISPRS Journal of Photogrammetry and Remote Sensing. 164. 41-60. 2020.
[7]. Ye, W., Qian, C., Tang, J., Liu, H., Fan, X., Liang, X., Zhang, H. Improved 3D Stem Mapping Method and Elliptic Hypothesis-Based DBH Estimation from Terrestrial Laser Scanning Data. Remote Sensing. 12 (3). 2020.
[8]. Ye, W., Qian, C., Tang, J., Liu, H., Fan, X., Liang, X., and Zhang, H. Improved 3D Stem Mapping Method and Elliptic Hypothesis-Based DBH Estimation from Terrestrial Laser Scanning Data. Remote Sensing. 12 (3). 2020.
[9]. Hyypp?, E., Kukko, A., Kaijaluoto, R., White, J.C., Wulder, M.A., Py?r?l?, J., Liang, X., Yu, X., Wang, Y., Kaartinen, H. and Virtanen, J.P. Accurate derivation of stem curve and volume using backpack mobile laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing. 161. 246-262. 2020.
[10]. Yu, X., Kukko, A., Kaartinen, H., Wang, Y., Liang, X., Matikainen, L., Hyypp?, J. Comparing features of single and multi-photon lidar in boreal forests. ISPRS Journal of Photogrammetry and Remote Sensing. 168. 268-276. 2020.
[11]. Zhang, W., Cai, S., Liang, X., Shao, J., Hu, R., Yu, S., & Yan, G. Cloth simulation-based construction of pit-free canopy height models from airborne LiDAR data. Forest Ecosystems. (1 (2020)). 2020.
[12]. Xinlian Liang , Yunsheng Wang* , Jiri Py?r?l? , Matti Lehtom?ki , Xiaowei Yu , Harri Kaartinen , Antero Kukko , Eija Honkavaara , Aimad E. I. Issaoui , Olli Nevalainen , Matti Vaaja , Juho-Pekka Virtanen, Masato Katoh and Songqiu Deng. Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements. Forest Ecosystems. (20 (2019)). 2019. PDF:https://forestecosyst.springeropen.com/track/pdf/10.1186/s40663-019-0173-3.pdf.
[13]. YunshengWangJiriPy?r?l?XinlianLiangMattiLehtom?kiAnteroKukkoXiaoweiYuHarriKaartinenJuhaHyypp? 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. Remote Sensing of Environment. 232. 111309. 2019.
[14]. Puttonen, E., Lehtom?ki, M., Litkey, P., N?si, R., Feng, Z., Liang, X., Wittke, S., Pand?i?, M., Hakala, T., Karjalainen, M. and Pfeifer, N. A Clustering Framework for Monitoring Circadian Rhythm in Structural Dynamics in Plants From Terrestrial Laser Scanning Time Series. Frontiers in Plant Science. 10 (486). 2019.
[15]. Yrttimaa, T., Saarinen, N., Luoma, V., Tanhuanp??, T., Kankare, V., Liang, X., Hyypp?, J., Holopainen, M. and Vastaranta, M. Detecting and characterizing downed dead wood using terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing. 151. 76-90. 2019.
[16]. Saarinen, N., Kankare, V., Py?r?l?, J., Yrttimaa, T., Liang, X., Wulder, M.A., Holopainen, M., Hyypp?, J., Vastaranta, M. Assessing the Effects of Sample Size on Parametrizing a Taper Curve Equation and the Resultant Stem-Volume Estimates. Forests. 10 (10). 2019.
[17]. Py?r?l?, J., Saarinen, N., Kankare, V., Coops, N.C., Liang, X., Wang, Y., Holopainen, M., Hyypp?, J. and Vastaranta, M. Variability of wood properties using airborne and terrestrial laser scanning. Remote Sensing of Environment. 235. 111474. 2019.
[18]. Wan, P., Wang, T., Zhang, W., Liang, X., Skidmore, A.K. and Yan, G. Quantification of occlusions influencing the tree stem curve retrieving from single-scan terrestrial laser scanning data. Forest Ecosystems. (43 (2019)). 2019.
[19]. Yrttimaa, T., Saarinen, N., Kankare, V., Liang, X., Hyypp?, J., Holopainen, M., Vastaranta, M. Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests. Remote Sensing. 11 (12). 2019.
[20]. Cai, S., Zhang, W., Liang, X., Wan, P., Qi, J., Yu, S., Yan, G., Shao, J. Filtering Airborne LiDAR Data Through Complementary Cloth Simulation and Progressive TIN Densification Filters. Remote Sensing. 11 (9). 2019.
[21]. Dai, W., Yang, B., Liang, X., Dong, Z., Huang, R., Wang, Y., & Li, W. Automated fusion of forest airborne and terrestrial point clouds through canopy density analysis. ISPRS Journal of Photogrammetry and Remote Sensing. 156. 94-107. 2019.
[22]. Py?r?l?, J., Liang, X., Saarinen, N., Kankare, V., Wang, Y., Holopainen, M., Hyypp?, J., Vastaranta, M., Assessing branching structure for biomass and wood quality estimation using terrestrial laser scanning point clouds. Canadian Journal of Remote Sensing. 2019. PDF: https://www.tandfonline.com/doi/pdf/10.1080/**.2018.**?needAccess=true.
[23]. P Jiri，K Ville，X Liang，S Ninni，R Juha，K Veli-Pekka，S Marketta，H Markus，H Juha，V Mikko Assessing log geometry and wood quality in standing timber using terrestrial laser-scanning point clouds. Forestry. 2018.
[24]. Liang, X., Kukko, A., Hyypp?, J., Lehtom?ki, M., Py?r?l?, J., Yu, X., Kaartinen, H., Jaakkola, A., Wang, Y. In-situ measurements from mobile platforms: An emerging approach to address the old challenges associated with forest inventories. ISPRS Journal of Photogrammetry and Remote Sensing. 2018.
[25]. Chen, S., Liu, J., Wu, T., Huang, W., Liu, K., Yin, D., Liang, X., Hyypp?, J., Chen, R. Extrinsic Calibration of 2D Laser Rangefinders Based on a Mobile Sphere. Remote Sens.. 2018.
[26]. Liang, X., Hyypp?, J., Kaartinen, H., Lehtom?ki, M., Py?r?l?, J., Pfeifer, N., Holopainen, M., Brolly, G., Francesco, P., Hackenberg, J., Huang, H., Jo, H.-W., Katoh, M., Liu, L., Mokro?, M., Morel, J., Olofsson, K., Poveda-Lopez, J., Trochta, J., Wang, D., Wang, J., Xi, Z., Yang, B., Zheng, G., Kan International benchmarking of terrestrial laser scanning approaches for forest inventories. ISPRS Journal of Photogrammetry and Remote Sensing. 2018.
[27]. Vastaranta, M., Yrttimaa, T., Saarinen, N., Yu, X., Karjalainen, M., Nurminen, K., Karila, K., Kankare, V., Luoma, V., Py?r?l?, J., Junttila, S., Tanhuanp??, T., Kaartinen, H., Kukko, A., Honkavaara, E., Jaakkola, A., Liang, X., Wang, Y., Vaaja, M., Hyypp?, H., Katoh, M., Wulder, M.A., Holopainen, M Airborne laser scanning outperforms the alternative 3D techniques in capturing variation in tree height and forest density in southern boreal forests.. Baltic Forestry. 2018.
[28]. Wang, Y., Lehtom?ki, M., Liang, X., Py?r?l?, J., Kukko, A., Jaakkola, A., Kaartinen, H., Liu, J., Feng Z., Chen, R., and Hyypp?, J. Is field-measured tree height as reliable as believed - a comparison study of tree height estimates from conventional field methods, airborne laser scanning and terrestrial laser scanning in boreal forest. ISPRS Journal of Photogrammetry and Remote Sensing. 2018.
[29]. Py?r?l?, J., Liang, X., Vastaranta, M., Saarinen, N., Kankare, V., Wang, Y., Holopainen, M., and Hyypp?, J. Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018. PDF: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=**.
[30]. Mokro?, M., Liang, X., Surovy, P., Valent, P., ?erňava, J., Chudy, F., Tunák, D., Saloň, ?., Mergani?, J. Evaluation of Close-Range Photogrammetry Image Collection Methods for Estimating Tree Diameters. ISPRS Int. J. Geo-Inf.. 2018.
[31]. Hyypp?, J., Virtanen, J.-P., Jaakkola, A., Yu, X., Hyypp?, H. Feasibility of Google Tango and Kinect for Crowdsourcing Forestry Information. Forests. 2017.
[32]. Berveglieri, A., Tommaselli, A., Liang, X., Honkavaara, E. Vertical Optical Scanning with Panoramic Vision for Tree Trunk Reconstruction. Sensors. 2017.
[33]. Liu, J., Hyypp?, J., Yu, X., Jaakkola, A., Kukko, A., Kaartinen, H., Zhu, L., Liang, X., Wang, Y. and Hyypp?, H. A Novel GNSS Technique for Predicting Boreal Forest Attributes at Low Cost. IEEE Transactions on Geoscience and Remote Sensing. 2017.
[34]. Jaakkola, A., Hyypp?, J., Yu, X., Kukko, A., Kaartinen, H., Liang, X., Hyypp?, H., Wang, Y. Autonomous Collection of Forest Field Reference—The Outlook and a First Step with UAV Laser Scanning. Remote Sens.. 2017.
[35]. Saarinen, N., Kankare, V., Vastaranta, M., Luoma, V., Py?r?l?, J., Tanhuanp??, T., Liang, X., Kaartinen, H., Kukko, A., Jaakkola, A., Yu, X., Holopainen, M., Hyypp?, J. Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees. ISPRS Journal of Photogrammetry and Remote Sensing. 2016.
[36]. Berveglieri, A., Tommaselli, A., Liang, X., Honkavaara, E. Photogrammetric measurement of tree stems from vertical fisheye images.. Scandinavian Journal of Forest Research. 2016.
[37]. Liu, J., Liang, X., Hyypp?, J., Yu, X., Lehtom?ki, M., Py?r?l?, J., Zhu, L., Wang, Y., Chen, R. Automated matching of multiple terrestrial laser scans for stem mapping without the use of artificial references. International Journal of Applied Earth Observation and Geoinformation. 2016.
[38]. Liang, XL;?Kankare, V;?Hyyppa, J;?Wang, YS;?Kukko, A?;?Haggren, H?;?Yu, XW??;?Kaartinen, H;?Jaakkola, A?;?Guan, FY?;?Holopainen, M;?Vastaranta, M Terrestrial Laser Scanning In Forest Inventories.. ISPRS Journal of Photogrammetry and Remote Sensing. 2016.
[39]. Yunsheng Wang, Juha Hyypp?, Xinlian Liang, Harri Kaartinen, Xiaowei Yu, Eva Lindberg, Johan Holmgren, Yuchu Qin, Clément Mallet, António Ferraz, Hossein Torabzadeh, Felix Morsdorf, Lingli Zhu, Jingbin Liu, and Petteri Alho International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning.. IEEE Transactions on Geoscience and Remote Sensing. 2016.
[40]. Liu, J., Hernandez-Pajares, M., Liang, X., An, J., Wang, Z., Chen, R., Sun, W. and Hyypp?, J. Temporal and spatial variations of global ionospheric total electron content under various solar conditions.. Journal of Geodesy. 2016.
[41]. Junttila, S., Vastaranta, M., Liang, X., Kaartinen, H., Kukko, A., Kaasalainen, S., Holopainen, M., Hyypp?, H., Hyypp?, J. Measuring Leaf Water Content with Dual-Wavelength Intensity Data from Terrestrial Laser Scanners. Remote Sens.. 2016.
[42]. Lin, Y., Wei, T., Yang, B., Knyazikhin, Y., Zhang, Y., Sato, H., Fang, X., Liang, X., Yan, L., Sun, S. TLS-bridged co-prediction of tree-level multifarious stem structure variables from worldview-2 panchromatic imagery: a case study of the boreal forest. International Journal of Digital Earth. 2016.
[43]. Sun, Y., Liang, X., Liang, Z., Welham, C., Li, W. Deriving merchantable volume in poplar through a localized tapering function from non-destructive terrestrial laser scanning.. Forests. 2016.
[44]. Xinlian Liang, Yunsheng Wang, Anttoni Jaakkola, Antero Kukko, Harri Kaartinen, Juha Hyypp?, Eija Honkavaara, and Jingbin Liu Forest Data Collection Using Terrestrial Image-based Point Clouds from a Hand-Held Camera Compared to Terrestrial and Personal Laser Scanning. IEEE Transactions on Geoscience and Remote Sensing. 2015. PDF: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=**.
[45]. Kankare, V., Liang, X., Vastaranta, M., Yu, X., Holopainen, M., Hyypp? Diameter distribution estimation with laser scanning based multisource single tree inventory.. ISPRS Journal of Photogrammetry and Remote Sensing. 2015.
[46]. Qian, C., Liu, H., Tang, J., Chen, Y., Kaartinen, H., Kukko, A., Zhu, L., Liang, X., Chen, L., Hyypp?, J. An Integrated GNSS/INS/LiDAR-SLAM Positioning Method for Highly Accurate Forest Stem Mapping. Remote Sens.. 2016.
[47]. Liu, J., Hyypp?, J., Yu, X., Jaakkola, A., Liang, X., Kaartinen, H., Kukko, A., Zhu, L., Wang, Y., Hyypp?, H. Can global navigation satellite system signals reveal the ecological attributes of forests?. International Journal of Applied Earth Observation and Geoinformation. 2016.
[48]. Yu, X., Hyypp?, J., Karjalainen, M., Nurminen, K., Karila, K., Vastaranta, M., Kankare, V., Kaartinen, H., Holopainen, M., Honkavaara, E., Kukko, A., Jaakkola, A., Liang, X., Wang, Y., Hyypp?, H., Katoh, M. Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes. Remote Sens.. 2015.
[49]. Kaartinen, H., Hyypp?, J., Vastaranta, M., Kukko, A., Jaakkola, A., Yu, X., Py?r?l?, J., Liang, X., Liu, J., Wang, Y., Kaijaluoto, R., Melkas, T., Holopainen, M. Accuracy of Kinematic Positioning Using Global Satellite Navigation Systems under Forest Canopies. Forests. 2015.
[50]. Liu, J., Zhu, L., Wang, Y., Liang, X., Hyypp?, J., Chu, T., Liu, K. and Chen, R. Reciprocal Estimation of Pedestrian Location and Motion State toward a Smartphone Geo-Context Computing Solution. Micromachines. 2015.
[51]. Li, W., Niu, Z., Liang, X., Li, Z., Huang, N., Gao, S., Wang, C., Muhammad, S. 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. International Journal of Applied Earth Observation and Geoinformation. 2015.
[52]. Liang, X., Jaakkola, A., Wang, Y., Hyypp?, J., Honkavaara, E., Liu, J., and Kaartinen, H. The Use of a Hand-Held Camera for Individual Tree 3D Mapping in Forest Sample Plots. Remote Sens.. 2014.
[53]. Liang, X., Hyyppa, J., Kukko, A., Kaartinen, H., Jaakkola, A., and Yu, X. The Use of a Mobile Laser Scanning System for Mapping Large Forest Plots. IEEE Geoscience and Remote Sensing Letters. 2014. PDF:https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=**.
[54]. Liang, X., Kukko, A., Kaartinen, H., Hyypp?, J., Yu, X., Jaakkola, A., and Wang, Y. Possibilities of a Personal Laser Scanning System for Forest Mapping and Ecosystem Services. Sensors. 2014.
[55]. Liang, X. and Hyypp?, J. Automatic Stem Mapping by Merging Several Terrestrial Laser Scans at the Feature and Decision Levels. Sensors. 2013.
[56]. Liang, X., Kankare, V., Yu, X., Hyyppa, J., and Holopainen, M. Automated Stem Curve Measurement Using Terrestrial Laser Scanning. IEEE Transactions on Geoscience and Remote Sensing. 2013. PDF: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=**.
[57]. Wang, Y., Liang, X., Flener, C., Kukko, A., Kaartinen, H., Kurkela, M., Vaaja, M., Hyypp?, H. 3D Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data. Remote Sens.. 2013.
[58]. Holopainen, M., Kankare, V., Vastaranta, M., Liang, X., Lin, Y., Vaaja, M., Yu, X. Hyypp?, J., Hyypp?, H. Tree mapping using airborne, terrestrial and mobile laser scanning – A case study in a heterogeneous urban forest. Urban Forestry & Urban Greening. 2013.
[59]. Xiaowei Yu ,Xinlian Liang,Juha Hyypp?,Ville Kankare,Mikko Vastaranta &Markus Holopainen Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds. Remote Sensing Letters. 2012. PDF: https://www.tandfonline.com/doi/pdf/10.1080/**X.2012.734931?needAccess=true.
[60]. Liang, X., Hyypp?, J., Kaartinen, H., Holopainen, M., Melkas, T. Detecting Changes in Forest Structure over Time with Bi-Temporal Terrestrial Laser Scanning Data. ISPRS Int. J. Geo-Inf.. 2012.
[61]. Liang, X., Litkey, P., Hyyppa, J., Kaartinen, H., Vastaranta, M., and Holopainen, M. Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning. IEEE Transactions on Geoscience and Remote Sensing. 2012.
共61条1/1 首页上页下页尾页

访问量：最后更新时间：--

教师博客

专利
共0条0/0

访问量：最后更新时间：--

教师博客

著作成果
共0条0/0

访问量：最后更新时间：--

教师博客

科研项目
共0条0/0

访问量：最后更新时间：--

教师博客

科研团队
1.多源感知与认知科研团队发布时间：2021-07-11 点击次数：

共1条1/1 首页上页下页尾页

访问量：最后更新时间：--

教师博客

教学资源
暂无内容

授课信息
暂无内容

教学成果
暂无内容

访问量：最后更新时间：--