论文标题
使用连续的基于L0惩罚（CEL0）算法的空间碎片的3D成像的点扩散功能工程
Point Spread Function Engineering for 3D Imaging of Space Debris using a Continuous Exact l0 Penalty (CEL0) Based Algorithm
论文作者
论文摘要
我们考虑仅来自二维（2D）快照图像的三维（3D）定位和空间碎片的成像。该技术涉及一个光学成像仪，该光学成像器利用中心图像旋转以编码点源的横向和深度坐标，后者以PSF的旋转角度编码。我们以离散形式的大规模稀疏3D反问题将3D定位提出。高斯噪声模型在此问题中应用了最近开发的称为连续精确L0（CEL0）的惩罚。数值实验和比较说明了算法的效率。
We consider three-dimensional (3D) localization and imaging of space debris from only one two-dimensional (2D) snapshot image. The technique involves an optical imager that exploits off-center image rotation to encode both the lateral and depth coordinates of point sources, with the latter being encoded in the angle of rotation of the PSF. We formulate 3D localization into a large-scale sparse 3D inverse problem in the discretized form. A recently developed penalty called continuous exact l0 (CEL0) is applied in this problem for the Gaussian noise model. Numerical experiments and comparisons illustrate the efficiency of the algorithm.
