Airborne LiDAR Point Cloud to Digital Surface Model (DSM) Depth Image Conversion

This utility program is designed for converting airborne LiDAR point cloud data into Digital Surface Model (DSM) depth images. Its primary objective is to enable efficient threshold segmentation operations in subsequent data processing stages. By transforming point cloud data into depth images, users can clearly visualize the height distribution patterns of terrain and surface objects. This functionality is particularly valuable for applications in geographic information systems (GIS) and cartographic production. The core algorithm implements a grid-based interpolation method that projects 3D point clouds onto a 2D raster grid, assigning elevation values to each pixel. Key functions include point cloud filtering, spatial interpolation (using inverse distance weighting or natural neighbor algorithms), and depth normalization for optimal image contrast. The program offers flexible parameter configurations, allowing users to customize grid resolution, interpolation methods, and output formats according to specific requirements. This robust and practical tool significantly enhances LiDAR data processing workflows by providing standardized depth representations suitable for computer vision algorithms and terrain analysis applications.