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Sensors 2016, 16(12), 2047; doi:10.3390/s16122047

A Hyperspectral Survey of New York City Lighting Technology

NYU Center for Urban Science and Progress, 1 MetroTech Center, Brooklyn, NY 11201, USA
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Author to whom correspondence should be addressed.
Academic Editor: Qihao Weng
Received: 26 September 2016 / Revised: 16 November 2016 / Accepted: 17 November 2016 / Published: 5 December 2016
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [1601 KB, uploaded 5 December 2016]   |  

Abstract

Using side-facing observations of the New York City (NYC) skyline, we identify lighting technologies via spectral signatures measured with Visible and Near Infrared (VNIR) hyperspectral imaging. The instrument is a scanning, single slit spectrograph with 872 spectral channels from 0.4–1.0 μ m. With a single scan, we are able to clearly match the detected spectral signatures of 13 templates of known lighting types. However, many of the observed lighting spectra do not match those that have been measured in the laboratory. We identify unknown spectra by segmenting our observations and using Template-Activated Partition (TAP) clustering with a variety of underlying unsupervised clustering methods to generate the first empirically-determined spectral catalog of roughly 40 urban lighting types. We show that, given our vantage point, we are able to determine lighting technology use for both interior and exterior lighting. Finally, we find that the total brightness of our scene shows strong peaks at the 570 nm Na - II , 595 nm Na - II and 818 nm Na - I lines that are common in high pressure sodium lamps, which dominate our observations. View Full-Text
Keywords: hyperspectral; lighting technology; urban science hyperspectral; lighting technology; urban science
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Dobler, G.; Ghandehari, M.; Koonin, S.E.; Sharma, M.S. A Hyperspectral Survey of New York City Lighting Technology. Sensors 2016, 16, 2047.

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