@inproceedings{2a741ad70a1544d489252eb391efb24f,
title = "Temporal super-resolution in full waveform LiDAR",
abstract = "To obtain high ranging resolution and to record full waveform signals, full waveform LiDAR requires short pulse width laser sources, high bandwidth sensors, high bandwidth A/Ds, and large on-board memories. To relax these requirements, temporal super-resolution is studied in this paper. In temporal super-resolution, the reflected beam is split into several branches, and then transpose through different distances before collected by detectors. The minimum distance difference among branches determines the system resolution. To reduce the number of measurements, compressive sensing idea is further used in temporal super-resolution LiDAR.",
keywords = "Compressive sensing, Full waveform Lidar, Super-resolution, Temporal super-resolution",
author = "Jun Ke and Lam, {Edmund Y.}",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Emerging Imaging and Sensing Technologies for Security and Defence III; and Unmanned Sensors, Systems, and Countermeasures 2018 ; Conference date: 12-09-2018 Through 12-09-2018",
year = "2018",
doi = "10.1117/12.2327001",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Buller, {Gerald S.} and Hollins, {Richard C.} and Lamb, {Robert A.} and Markus Mueller and Lamb, {Robert A.}",
booktitle = "Emerging Imaging and Sensing Technologies for Security and Defence III; and Unmanned Sensors, Systems, and Countermeasures",
address = "United States",
}