3-d Terrain Reconstruction with Aerial Photography

This paper presents the 3-D terrain reconstruction with aerial photography. The results of 3-D reconstruction using intensity-based matching and hybrid intensity-based and epipolar geometry approach matching are shown and compared. The intensity-based image matching uses maximum normalized cross correlation to find the displacement vector between two images. This method can overcome the effect of shadow. The hybrid method is divided into three steps: First, compute eight image-point matching using maximum normalized cross correlation. Second, epipolar line constraint is computed using the matching results of eight image points. Finally, the precise image matching is finished fast under the epipolar line constraint. In this paper, we add an artificial intelligence analysis procedure to improve the computing time for this kind of problem. The relative depth is computed through stereo vision analysis technique using two-images and presented in 3D.