Junxiang Tan
Biographic Data
| ID | 7918514 |
|---|---|
| NAME | Junxiang Tan |
| GIVEN NAMES | Junxiang |
| FAMILY NAME | Tan |
| SIGNATURE | TAN J |
| AFFILIATIONS | Chengdu University of Technology |
| ORCID | 0000-0002-8405-4852 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Improving LAI retrieval in complex mountains with implicit mutual terrain irradiance
Leaf area index (LAI), a key indicator of vegetation canopy structure, is vital to regional ecological assessment and environmental monitoring. However, rugged terrain can induce the radiation distortion recorded by senses, thus resulting in substantial uncertainties in LAI retrievals. Existing canopy reflectance models often ignore the mutual terrain irradiance within soil-canopy layers, thereby limiting the completeness of the physical mechanis…
Pairwise Coarse Registration of Indoor Point Clouds Using 2D Line Features
Registration is essential for terrestrial LiDAR (light detection and ranging) scanning point clouds. The registration of indoor point clouds is especially challenging due to the occlusion and self-similarity of indoor structures. This paper proposes a 4 degrees of freedom (4DOF) coarse registration method that fully takes advantage of the knowledge that the equipment is levelled or the inclination compensated for by a tilt sensor in data acquisit…
Accurate Road Marking Detection from Noisy Point Clouds Acquired by Low-Cost Mobile LiDAR Systems
Road markings that provide instructions for unmanned driving are important elements in high-precision maps. In road information collection technology, multi-beam mobile LiDAR scanning (MLS) is currently adopted instead of traditional mono-beam LiDAR scanning because of the advantages of low cost and multiple fields of view for multi-beam laser scanners; however, the intensity information scanned by multi-beam systems is noisy and current methods …
A Spatial, Social and Environmental Study of Tuberculosis in China Using Statistical and GIS Technology
Tuberculosis (TB) remains a major public health problem in China, and its incidence shows certain regional disparities. Systematic investigations of the social and environmental factors influencing TB are necessary for the prevention and control of the disease. Data on cases were obtained from the Chinese Center for Disease and Prevention. Social and environmental variables were tabulated to investigate the latent factor structure of the data usi…
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A Spatial, Social and Environmental Study of Tuberculosis in China Using Statistical and GIS Technology
Tuberculosis (TB) remains a major public health problem in China, and its incidence shows certain regional disparities. Systematic investigations of the social and environmental factors influencing TB are necessary for the prevention and control of the disease. Data on cases were obtained from the Chinese Center for Disease and Prevention. Social and environmental variables were tabulated to investigate the latent factor structure of the data usi…
Accurate Road Marking Detection from Noisy Point Clouds Acquired by Low-Cost Mobile LiDAR Systems
Road markings that provide instructions for unmanned driving are important elements in high-precision maps. In road information collection technology, multi-beam mobile LiDAR scanning (MLS) is currently adopted instead of traditional mono-beam LiDAR scanning because of the advantages of low cost and multiple fields of view for multi-beam laser scanners; however, the intensity information scanned by multi-beam systems is noisy and current methods …
Pairwise Coarse Registration of Indoor Point Clouds Using 2D Line Features
Registration is essential for terrestrial LiDAR (light detection and ranging) scanning point clouds. The registration of indoor point clouds is especially challenging due to the occlusion and self-similarity of indoor structures. This paper proposes a 4 degrees of freedom (4DOF) coarse registration method that fully takes advantage of the knowledge that the equipment is levelled or the inclination compensated for by a tilt sensor in data acquisit…
Improving LAI retrieval in complex mountains with implicit mutual terrain irradiance
Leaf area index (LAI), a key indicator of vegetation canopy structure, is vital to regional ecological assessment and environmental monitoring. However, rugged terrain can induce the radiation distortion recorded by senses, thus resulting in substantial uncertainties in LAI retrievals. Existing canopy reflectance models often ignore the mutual terrain irradiance within soil-canopy layers, thereby limiting the completeness of the physical mechanis…
Geography (3 works) · Remote Sensing and LiDAR Applications (3 works) · 3D Surveying and Cultural Heritage (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Computer vision (2 works) · Lidar (2 works) · Point cloud (2 works) · Remote sensing (2 works) · Atmospheric radiative transfer codes (1 work)