In understory terrain studies, high-precision photon point cloud classification is essential for the comprehensive analysis of forest ecosystems. However, ICESat-2 Advanced Topographic Laser Altimeter System photon data contain substantial noise photons and inherently lack terrain-adaptive properties, leading to freque...
Jia-Peng Huang, Yun-Qiu Wang, Qing-Nan Fan et al.· IEEE Journal of Selected Top...· 0 citations
Abstract. Building contours constitute essential geometric information in fields such as 3D urban model reconstruction and low-altitude navigation and positioning. However, due to factors such as diverse building boundary structures, uneven density, and the lack of topological relationships in airborne LiDAR point clou...
Yan Xu, Chang-Dong Ji, Jia-Peng Huang· Journal of Applied Remote Se...· 0 citations
Canopy cover (CC) is a key indicator of forest horizontal structure. However, in regional-scale forest environments, the spatial heterogeneity of canopy structure, limitations of understory DEMs, and differences in multisource remote sensing responses may still affect the stability and accuracy of CC estimation. This s...
Meng-Yao Wang, Jia-Peng Huang, Tao Zheng· IEEE Journal of Selected Top...· 0 citations
In understory terrain research, high-precision photon point cloud classification is essential for comprehensive analysis of forest ecosystems. However, ICESat-2/Advanced Topographic Laser Altimeter System (ATLAS) photon data contain substantial noise, and the raw photon data lack explicit terrain attributes, which can...
Jia-Peng Huang, Yun-Qiu Wang, Hua Wu et al.· IEEE Transactions on Geoscie...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
