DocumentCode
3074492
Title
Short wave infrared (SWIR) imaging systems using small Unmanned Aerial Systems (sUAS)
Author
Stark, Brandon ; McGee, Matthew ; Yangquan Chen
Author_Institution
Mechatron., Embedded Syst. & Autom. Lab., Univ. of California, Merced, Merced, CA, USA
fYear
2015
fDate
9-12 June 2015
Firstpage
495
Lastpage
501
Abstract
Unmanned Aerial Systems are currently in use for a wide variety of applications with digital cameras and thermal cameras, but recent advances in Short Wave Infrared (SWIR) imaging systems or imagers have led to their commercial availability. The SWIR spectrum is a reflected light region and similar to near-infrared (NIR) is invisible to human eyes. The unique properties of this spectrum such as penetration of haze and smoke and its high sensitivity to moisture make it a potentially significant addition to small UAS (sUAS) applications. The use of sUASs to provide higher temporal and spatial resolutions has the potential for new applications otherwise impossible. In this paper, a tutorial introduction to the SWIR spectrum and its enabled potential applications for small UASs is presented. Furthermore this paper outlines how sUAS remote sensing applications stand to benefit from the use of SWIR imaging systems, as the effectiveness of SWIR bands in satellite imagery for metrics related to water content have already been demonstrated. Results from real world sUAS flight missions are included.
Keywords
autonomous aerial vehicles; image sensors; infrared imaging; remote sensing; robot vision; NIR; SWIR bands; SWIR spectrum; digital cameras; near-infrared; reflected light region; sUAS flight missions; sUAS remote sensing applications; satellite imagery; short wave infrared imaging systems; small unmanned aerial systems; thermal cameras; water content; Atmospheric measurements; Calibration; Lenses; Remote sensing; Satellites; Soil moisture;
fLanguage
English
Publisher
ieee
Conference_Titel
Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
Conference_Location
Denver, CO
Print_ISBN
978-1-4799-6009-5
Type
conf
DOI
10.1109/ICUAS.2015.7152328
Filename
7152328
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