M
Manchun Li
Researcher at Nanjing University
Publications - 15
Citations - 509
Manchun Li is an academic researcher from Nanjing University. The author has contributed to research in topics: Lidar & Octree. The author has an hindex of 10, co-authored 15 publications receiving 302 citations.
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Journal ArticleDOI
Registration of Laser Scanning Point Clouds: A Review
TL;DR: A comprehensive review of LiDAR data registration in the fields of photogrammetry and remote sensing is presented, and the lack of standard data and unified evaluation systems is identified as a factor limiting objective comparison of different methods.
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Segmentation of Individual Trees From TLS and MLS Data
TL;DR: A top-down hierarchical segmentation approach, including connectivity-based spatial clustering, stem-based initial segmentation, and fine segmentation of overlapped canopy (canopy scale), is proposed to reduce technical difficulties and improve process efficiency.
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Accessibility based on Gravity-Radiation model and Google Maps API: A case study in Australia
TL;DR: The new estimated potential traveling population (EPTP) weighted travel costs are proposed to measure the overall accessibility at multiple scales and show that the EPTP is strongly correlated with the resident population at both the SUA and state levels in Australia.
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Analysis of farmland fragmentation in China Modernization Demonstration Zone since “Reform and Openness”: a case study of South Jiangsu Province
Liang Cheng,Nan Xia,Penghui Jiang,Lishan Zhong,Yuzhe Pian,Yuewei Duan,Qiuhao Huang,Manchun Li +7 more
TL;DR: The results demonstrated that the total farmland area decreased and the farmland pattern became fragmented during 1985–2008 and the fragmentation rate slowed after 2008, the convergence rate to a stationary farmland distribution became faster, and transitions tended to be less deterministic after 2000.
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Using Octrees to Detect Changes to Buildings and Trees in the Urban Environment from Airborne LiDAR Data
TL;DR: The development of a point-based method to effectively solve the problem of objects at different scales, and the establishment of rules to detect changes in buildings and trees to urban areas are established, enabling the use of the point- based method over large areas.