It is challenging to reconstruct 3D terrain modelsbased on sketches drawn in the first-person pointofview. Owing to the lack of one-dimensional information, most studies focus on terrain-independent design and texture mapping methods to improve the realism; however, the spatial location is not considered in such methods.To address this limitation, we propose a methodto generate 3D modelsthat conform tothe real space position. First,based on the established shape rules and visual occlusion relation, the relative depth relationship is determined according to the geometric rules derived from photographs; then, a contour map is established by sampling the contour data points of different depth layers for ellipse expansion.Furthermore, the fractal interpolation of circumferential sampling points is performed to calculate terrain units, and the non-rigid deformation of spatial terrain elements is realized via rotation mapping. Finally, Berlin noise is added to improve the random effect of the 3D terrain display. Experimental results show that for the same 2D sketch perspective, 3D terrain models corresponding todifferent real spatial locations can be constructed; in this regard, the proposed method is different from the other three methods.Furthermore, it solves the problem of real space location reconstruction. Our method is more suitable for expressing the intended design purpose of users.It realizes the 3D terrain real space reconstruction of any 2D sketch; moreover, it obtains a variety of real space layouts of multi-layer occlusion terrainsin addition to displayingthe terrain features,which bridges the gap between artistic intent and the actual result.