Multi-constraint connected graph segmentation point cloud filtering method suitable for complex heavy hill region

The invention discloses a multi-constraint connected graph segmentation point cloud filtering method suitable for a complex heavy hill region, and relates to the technical field of remote sensing. According to the multi-constraint connected graph segmentation point cloud filtering method suitable for the complex heavy hill area, by analyzing the ground feature and landform characteristics of a target area, laser radar point cloud data of the target area are obtained, the point cloud data and DSM data are superposed, an SOR module of CloudCompare software is adopted for denoising, and the target area laser radar point cloud filtering method suitable for the complex heavy hill area is obtained. The method comprises the following steps: selecting five multi-constraint connected graph constraint conditions to construct multi-constraint connected graphs of different ground features and landforms, screening ground points of a complex heavy hill region based on a matching algorithm, optimizing a ground point set by