DTAC-3DMesh: A 3-D Mesh Modeling Method for Buildings Using ArrayInSAR Point Clouds

Abstract

Airborne array interferometric synthetic aperture radar (ArrayInSAR) point clouds are affected by viewing geometry, occlusion, and electromagnetic scattering. Consequently, they often exhibit sparse sampling, incomplete roof and facade coverage, and complex noise. To address these limitations, this study proposes DTAC-3DMesh, a method for reconstructing 3-D building meshes from ArrayInSAR point clouds. The method exploits the relatively high density of facade points and uses a strategy based on two thresholds to extract building points. It then applies an adaptive α method to reconstruct building contours and generate closed triangular meshes. Experiments in two representative scenes, one with tall buildings and the other with buildings of medium height, yielded quality index (Q) values of 0.9573 and 0.9328, respectively. The corresponding building reconstruction consistency index values were 0.9540 and 0.9609, respectively. Further analysis indicates that decreasing point density progressively reduces the reliability of candidate region identification, contour recovery, and key parameter estimation. The proposed method provides a practical solution for the 3-D reconstruction of buildings with regular geometry and rapid assessment after disasters.