@inproceedings{f3e1d68fda7b44379d706801bb3e3aa0,
title = "Compressive full waveform lidar",
abstract = "To avoid high bandwidth detector, fast speed A/D converter, and large size memory disk, a compressive full waveform LIDAR system, which uses a temporally modulated laser instead of a pulsed laser, is studied in this paper. Full waveform data from NEON (National Ecological Observatory Network) are used. Random binary patterns are used to modulate the source. To achieve 0.15 m ranging resolution, a 100 MSPS A/D converter is assumed to make measurements. SPIRAL algorithm with canonical basis is employed when Poisson noise is considered in the low illuminated condition.",
keywords = "Full waveform Lidar, compressive sensing, high resolution, low illuminated condition",
author = "Weiyi Yang and Jun Ke",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Compressive Sensing VI: From Diverse Modalities to Big Data Analytics 2017 ; Conference date: 12-04-2017 Through 13-04-2017",
year = "2017",
doi = "10.1117/12.2263395",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Fauzia Ahmad",
booktitle = "Compressive Sensing VI",
address = "United States",
}