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Yun-Qiu Wang

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Open access 2026

DBCF: Classification and Understory Terrain Estimation of High-Precision ICESat-2 Photon Point Clouds

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. · 0 citations
2026

DGCNN-CBAM Integration: A Novel Framework for ICESat-2 Photon Point Cloud Classification and Validated Understory Terrain Estimation

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. · 0 citations

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