@inproceedings{7e1575cb4d464d47b11ce41643adffe4,
title = "Computational three-dimensional imaging method of compressive LIDAR system with gain modulation",
abstract = "The distance resolution of a 3D LIDAR imaging is largely decided by the pulse duration of the laser source and rise time of the detector. Considering that breaking these limits generates low-cost systems, we present a computational method of 3D imaging by a compressive LIDAR system. Based on the theory of compressive sensing, reflective pulses are obtained by single-pixel detector and intensity maps are reconstructed by TVAL3 algorithm. Moreover, the distance information of each pixel can be calculated from the reconstructed intensity maps with gain modulation technology. The simulations are accomplished to validate the effectiveness of our method. Convincing computational results shows that our method is capable to achieve 3D imaging with less budget.",
keywords = "Compressive sensing, Gain modulation, LIDAR, Three-dimensional imaging",
author = "Zhang, \{Yan Mei\} and An, \{Yu Long\}",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; LIDAR Imaging Detection and Target Recognition 2017 ; Conference date: 23-07-2017 Through 25-07-2017",
year = "2017",
doi = "10.1117/12.2292295",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Weimin Bao and Yueguang Lv and Daren Lv",
booktitle = "LIDAR Imaging Detection and Target Recognition 2017",
address = "United States",
}