Xiaolong Cheng

ORCID: 0000-0001-6513-9749
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About
Contact & Profiles
Research Areas
  • 3D Surveying and Cultural Heritage
  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • Robotics and Sensor-Based Localization
  • Archaeological Research and Protection
  • Image Processing and 3D Reconstruction
  • Microbial Community Ecology and Physiology
  • Forest ecology and management

Jiangxi University of Science and Technology
2018-2020

Tongji University
2016-2018

Zhejiang Ocean University
2008

Terrestrial laser scanner (TLS) and airborne (ALS) can effectively capture point clouds from side or top view, respectively. Registering captured by ALS TLS provides an integrated data source for three-dimensional (3-D) reconstruction. However, registration is difficult between because of the differences in scanning perspectives, area, spatial resolutions. A new method that achieve automatic horizontal with based on building contour features proposed this study. The key steps include...

10.1109/jstars.2017.2788054 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2018-01-12

Terrestrial laser scanning (TLS) is a highly effective and noninvasive technology for retrieving the structural biophysical attributes of trees using 3-D high-accuracy high-density point clouds. The separation leaf wood points in TLS data prerequisite accurate reliable derivation these attributes. In this study, new method proposed to separate individual by combining radiometric (intensity) geometric (density) data. are separated from ones through three steps. First, corrected intensity used...

10.1109/tgrs.2020.3032167 article EN IEEE Transactions on Geoscience and Remote Sensing 2020-10-30

Independent of instrumental properties and scanning geometry, target reflectance is significantly important for terrestrial laser (TLS) data processing utilization, especially in multi-temporal multi-sensor cases. In addition to the 3D topographic coordinates, TLS systems also record backscattered intensity value each point that provides additional information on characteristics scanned surface. However, a number confounding variables, particularly distance incidence angle, distort ability...

10.1364/oe.24.022971 article EN cc-by Optics Express 2016-09-26

The number of fragments and the variety primitive cultural relics unearthed in archaeology, especially mixed several dynasties Qinglong town, Shanghai, pose a great challenge to manual splicing. traditional comparison method is easy cause second damage relics. In this paper, edge feature extracted based on removing noise point cloud, bilateral filtering cloud denoising algorithm salient features proposed. By changing step size field view, Improved Artificial Fish Swarm Algorithm used get...

10.1109/access.2020.3012438 article EN cc-by IEEE Access 2020-01-01
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