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...