Space Target 3-D Reconstruction Using Votes Accumulation Method of ISAR Image Sequence

Abstract

Combining inverse projection and vote accumulation methods, we propose a novel 3-D geometric reconstruction method based on inverse synthetic aperture radar image sequence for triaxially stabilized space targets. Considering that the translation of a triaxially stabilized space target results in a large angular rotation of the radar line-of-sight and an attitude adjustment rotation of the target itself, the projection relationship between the radar imaging plane and a triaxially stabilized space target is constructed first. Subsequently, we perform an inverse projection on the dominant points extracted from each imaging plane to determine the location of the 3-D candidate scatterers and assign a voting value of 1 to each position. By accumulating these vote values, we can obtain the total number of votes for the candidate scatterer position. We treat candidate 3-D scatterers with a large cumulative number of votes as actual scatterers. Thus, the target 3-D geometry can be obtained. Compared with the traditional matrix factorization-based 3-D reconstruction methods, this method is more accurate and ensures that the target pose is consistent with the actual pose. At the same time, compared with 3-D reconstruction methods based on the energy accumulation ideas, this method produces fewer false scatterers and has higher credibility. The experimental results based on the simulated point target and electromagnetic data are presented to validate the effectiveness and robustness of the proposed method.

Keywords

• 3-D geometric reconstruction
• image sequence
• inverse synthetic aperture radar (ISAR)
• vote accumulation