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Open AccessArticle

Evaluation of Applicability of Various Color Space Techniques of UAV Images for Evaluating Cool Roof Performance

1
Department of Spatial Information, Kyungpook National University, Daegu 41566, Korea
2
School of Convergence and Fusion System Engineering, Kyungpook National University, Sangju 37224, Korea
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Author to whom correspondence should be addressed.
Energies 2020, 13(16), 4213; https://doi.org/10.3390/en13164213
Received: 13 July 2020 / Revised: 12 August 2020 / Accepted: 13 August 2020 / Published: 14 August 2020
(This article belongs to the Section Geo-Energy)
Global warming is intensifying worldwide, and urban heat islands are occurring as urbanization progresses. The cool roof method is one alternative for reducing the urban heat island phenomenon and lowering the heat on building roofs for a comfortable indoor environment. In this study, a cool roof evaluation was performed using an unmanned aerial vehicle (UAV) and a red, green and blue (RGB) camera instead of a laser thermometer and a thermal infrared sensor to evaluate existing cool roofs. When using a UAV, an RGB sensor is used instead of expensive infrared sensor. Various color space techniques, namely light-reflectance value, hue saturation value (HSV), hue saturation lightness, and YUV (luma component (Y) and two chrominance components, called U (blue projection) and V (red projection)) derived from RGB images, are applied to evaluate color space techniques suitable for cool roof evaluation. This case study shows the following quantitative results: among various color space techniques investigated herein, the white roof with lowest temperature (average surface temperature: 44.1 °C; average indoor temperature: 33.3 °C) showed highest HSV, while the black roof with the highest temperature (surface temperature average: 73.4 °C; indoor temperature average: 37.1 °C) depicted the lowest HSV. In addition, the HSV showed the highest correlation in both the Pearson correlation coefficient and the linear regression analyses when the correlation among the brightness, surface temperature, and indoor temperature of the four color space techniques was analyzed. This study is considered a valuable reference for using RGB cameras and HSV color space techniques, instead of expensive thermal infrared cameras, when evaluating cool roof performance. View Full-Text
Keywords: UAV; cool roof; thermal images; color space techniques; surface temperature; indoor temperature UAV; cool roof; thermal images; color space techniques; surface temperature; indoor temperature
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MDPI and ACS Style

Lee, K.; Seong, J.; Han, Y.; Lee, W.H. Evaluation of Applicability of Various Color Space Techniques of UAV Images for Evaluating Cool Roof Performance. Energies 2020, 13, 4213.

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