Paper
4 May 2010 Redundancy analysis of raw Geiger-mode laser radar data
Author Affiliations +
Abstract
In the past decade arrays of Geiger-mode Avalanche Photodiode (GmAPD) detectors have increased in size from 4×4 to 128×32, resulting in significant increases in data rates. If not handled appropriately, data collected with larger arrays and higher laser pulse repetition frequencies could potentially stress existing data dissemination and storage infrastructures. Data compression techniques that reduce storage requirements by taking advantage of data redundancies could be used to mitigate this problem. In this paper we present an analysis of the coding redundancy that exists in raw data captured with three dimensional imaging laser radar systems that employ arrays of Geiger-mode Avalanche Photodiode (GmAPD) detectors. The data we analyzed was collected in three different scanning modes, namely: mapping-mode, target-mode and stare-mode. We found that there is a significant amount of coding redundancy in raw GmAPD data which can be used to minimize storage sizes. We demonstrate that a trivial and simple approach reduces data for some scan patterns. This work represents a first step towards developing robust compression algorithms for raw GmAPD data. We present considerations for future work.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Norman A. Lopez and Gary W. Kamerman "Redundancy analysis of raw Geiger-mode laser radar data", Proc. SPIE 7684, Laser Radar Technology and Applications XV, 76840P (4 May 2010); https://doi.org/10.1117/12.854711
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KEYWORDS
Sensors

LIDAR

Data storage

Pulsed laser operation

Imaging systems

Laser systems engineering

Data modeling

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