针对传统固定分辨率扫描式三维成像存在点云冗余度高、图像重构精度低的问题，提出了一种空间变分辨率扫描式三维重构成像方法，构建了多回波与变分辨率扫描成像模型，通过对多回波分解并提取目标信息，实现了针对目标的高分辨深度图像重构。通过对比实验验证了模型的有效性，结果表明，与传统定分辨率扫描成像相比，该方法在保证目标重构精度的同时，采样比仅为传统方法的50%，有效降低了点云采样冗余度。所获结果有利于支撑三维成像相关应用领域。

A spatial variable resolution scanning three-dimensional (3D) imaging method is proposed to address the problems of high redundancy of point cloud and low accuracy of image reconstruction in traditional fixed-resolution scanning 3D imaging. A model of multi-echo and spatial variable resolution scanning imaging is deduced. Target information is extracted by decomposing multi-echo to achieve high resolution depth image reconstruction. The model is verified by comparative experiments. The results show that compared with the traditional fixed-resolution scanning imaging method, the sampling rate of the proposed method is only 50% under the comparable imaging quality, which effectively reduces the redundancy of the point cloud. The results can support the related application of 3D imaging.