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Adaptive three-dimensional feature specific imaging

机译：自适应三维特征特定成像

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摘要

Feature specific imaging is a computational imaging technique that minimizes the number of measurements needed to sufficiently reconstruct a scene by using a prioriknowledge (e.g., the scene's second-order statistics) to judiciously, as well as possibly adaptively, choose the projection vectors to be measured. Here, we have developed an approach to three-dimensional adaptive feature specific imaging that takes into account the obstruction of distant objects by closer objects in the adaption of the projections and in the reconstruction algorithm. The developed system reconstructs the cross-range image of the scene at each range bin from a set of range resolved measurements from all the return from the scene at that range using only a single photodetector, while adapting to the obstruction of the scene by closer objects. Simulations and a proof-of-concept demonstration of adaptive three-dimensional feature specific imaqinq are presented.
机译：特定于特征的成像是一种计算成像技术，通过使用先验知识（例如，场景的二阶统计量）明智地以及可能自适应地选择要测量的投影矢量，可最大限度地减少充分重建场景所需的测量次数。在这里，我们开发了一种三维自适应特征特定成像方法，该方法考虑了在投影的自适应和重构算法中较近物体对远距离物体的阻挡。所开发的系统仅使用单个光电探测器，就可以根据来自该范围内场景的所有返回结果的一组范围分辨的测量值，重建一组范围分辨测量中的场景的跨范围图像，同时适应较近物体对场景的阻挡。提出了自适应三维特征特定imaqinq的仿真和概念验证演示。

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