Target Three-Dimensional Reconstruction From the Multi-View Radar Image Sequence

Abstract

Target three-dimensional (3D) reconstruction is a hot topic and also a challenge in remote sensing applications. In this paper, a new reconstruction algorithm is proposed to reconstruct the 3D surface of the stable attitude target from its multi-view radar image sequence. Uniform explicit expression of the radar and optical imaging geometries is derived to bridge the 3D target structure and these two sorts of observation images. In this way, the visual hull of the target is reconstructed by exploiting the multiview stereo techniques to the silhouette information extracted from the radar image sequence. Meanwhile, the target absolute attitude is also determined. Furthermore, we analyze the primary difficulty of the method induced from the limited radar observation view in a typical application, the 3D reconstruction of an in-orbit satellite. Then, an extended algorithm is proposed with the feature fusion of the radar and optical images to achieve dramatic performance enhancement of the reconstruction in this condition. The feasibility of the proposed algorithm is confirmed in the experiment part, and some conclusions are drawn to guide the future work about extended applications of the proposed algorithm as well.INDEX TERMS Radar imaging, geometrical projection, three-dimensional reconstruction, feature fusion of the radar and optical images.

Global Adaptive 4-Points Congruent Sets Registration for 3D Indoor Scenes With Robust Estimation

“…With the advancing of laser scanner based applications, 3D registration has attracted great interest in the computer vision [1]- [3] and remote sensing [18], [19] related research fields. As an indispensable component of 3D reconstruction, the main task of the 3D registration is to match multiple point clouds scanned from different orientations of the same scene to a uniform coordinate system [8]- [10]. In this way, 3D registration can provide a basic architecture for 3D reconstruction to restore the entire scene.…”

Fast Estimated Calculation of Wideband Radar Angular Glint Using Single Frequency Method

“…For the wideband radar system, it has the ability of highresolution range profile (HRRP) [16] which can divide the scattering centers of extended target into the range units according to the resolution ratio. And also the twodimensional image of the target can be reconstructed due to the Range-Doppler (RD) technology [17] based on the Synthetic Aperture Radar (SAR) system, and also the threedimensional microwave image can be reconstructed based on the multi-view radar system [18]. The modeling method and the viewpoint of the target angular glint under the wideband system can also be extended due to appearance of HRRP, and the corresponding calculation for complex target which is composed multi-scattering centers had been presented [19].…”

A Multi-Perspective 3D Reconstruction Method with Single Perspective Instantaneous Target Attitude Estimation

“…In order to reduce the computational complexity, [24,25] only use the distance trajectory to get the shape of a target, instead of the size of a target, but it will lead to scale ambiguity because of the lack of cross-range scaling. To solve this problem, an innovative method is proposed in [34]. In [34], the multi-view radar image sequences are combined with the optical images to obtain the target 3D structure.…”

“…To solve this problem, an innovative method is proposed in [34]. In [34], the multi-view radar image sequences are combined with the optical images to obtain the target 3D structure. However, this method needs to perform orientation calibration, which is time-consuming.…”