The research on three-dimensional (3D) reconstruction after the processing of point-cloud data from airborne lidar has received considerable attention for a long time. Because of the deficiencies of greedy triangulation (GT) algorithm for the 3D reconstruction of stockpile point-cloud data, a GT algorithm based on inverse-distance-weighted interpolation is proposed herein. This proposed algorithm can obtain data of unmeasured area; further, it can acquire uniform data by controlling the interpolation area. The proposed GT algorithm is used for the 3D reconstruction of stockpile in the spot, and comparison experiments show that the proposed algorithm produces results that are closer to reality and that it has strong application potential.