19 December 2018 Compact snapshot image mapping spectrometer for unmanned aerial vehicle hyperspectral imaging
Author Affiliations +
Abstract
Due to the surge in the development of unmanned aerial vehicles (UAVs) and small spacecraft (CubeSats and SmallSats) in recent years, there has been a push to develop miniaturized instrumentation to be incorporated on such platforms. A compact hyperspectral imager integrated with these vehicles provides a cost-effective platform for a range of environmental sensing applications that include the monitoring of vegetation, urban development, and lightning. We present the snapshot hyperspectral imaging system (SNAP-IMS), requiring no scanning and capable of integration with a UAV. The collected hyperspectral data cube is 350  ×  400  ×  55 (x  ,  y  ,  λ) and is acquired within a single camera exposure. The system (288  mm  ×  150  mm  ×  160  mm) weighs 3.6 kg (7.9 lb), and its power consumption is marginal as there are no scanning components. Experimental testing included several flights over an area covered by diverse types of vegetation and man-made structures. Data cubes are recorded at a 1/100 s integration time, which mitigated motion-related artifacts. The low size, mass, and power consumption of the imager can enable longer and higher flights at smaller drone sizes and allow easy, portable spectral imaging. Imaging results and the system description are presented and discussed.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2018/$25.00 © 2018 SPIE
Jason G. Dwight, Tomasz S. Tkaczyk, David Alexander, Michal E. Pawlowski, Razvan-Ionut Stoian, Jeffery C. Luvall, Paul F. Tatum, and Gary J. Jedlovec "Compact snapshot image mapping spectrometer for unmanned aerial vehicle hyperspectral imaging," Journal of Applied Remote Sensing 12(4), 044004 (19 December 2018). https://doi.org/10.1117/1.JRS.12.044004
Received: 4 May 2018; Accepted: 20 November 2018; Published: 19 December 2018
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Unmanned aerial vehicles

Imaging systems

Mirrors

Cameras

Spectroscopy

Optical filters

Sensors

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