Investigation of frame-to-frame back projection and feature selection algorithms for non-line-of-sight laser gated viewing

Martin Laurenzis; Andreas Velten

doi:10.1117/12.2067136

13 October 2014 Investigation of frame-to-frame back projection and feature selection algorithms for non-line-of-sight laser gated viewing

Martin Laurenzis, Andreas Velten

Author Affiliations +

Proceedings Volume 9250, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing II; 92500J (2014) https://doi.org/10.1117/12.2067136
Event: SPIE Security + Defence, 2014, Amsterdam, Netherlands

Abstract

In the present paper, we discuss new approaches to analyze laser gated viewing data for non-line-of-sight vision with a novel frame-to-frame back projection as well as feature selection algorithms. While first back projection approaches use time transients for each pixel, our new method has the ability to calculate the projection of imaging data on the obscured voxel space for each frame. Further, four different data analysis algorithms were studied with the aim to identify and select signals from different target positions. A slight modification of commonly used filters leads to powerful selection of local maximum values. It is demonstrated that the choice of the filter has impact on the selectivity i.e. multiple target detection as well as on the localization precision.

Citation Download Citation

Martin Laurenzis and Andreas Velten "Investigation of frame-to-frame back projection and feature selection algorithms for non-line-of-sight laser gated viewing", Proc. SPIE 9250, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VIII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing II, 92500J (13 October 2014); https://doi.org/10.1117/12.2067136

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