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Article

Radiometric and Atmospheric Corrections of Multispectral μMCA Camera for UAV Spectroscopy

1
Department of Physical Geography and Geoecology, Faculty of Science, Charles University, Albertov 6, 128 43 Prague 2, Czech Republic
2
Global Change Research Institute of the Czech Academy of Sciences, Bělidla 986/4a, 603 00 Brno, Czech Republic
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(20), 2428; https://0-doi-org.brum.beds.ac.uk/10.3390/rs11202428
Received: 21 August 2019 / Revised: 1 October 2019 / Accepted: 15 October 2019 / Published: 19 October 2019
(This article belongs to the Special Issue Correction of Remotely Sensed Imagery)
This study presents a complex empirical image-based radiometric calibration method for a Tetracam μMCA multispectral frame camera. The workflow is based on a laboratory investigation of the camera’s radiometric properties combined with vicarious atmospheric correction using an empirical line. The effect of the correction is demonstrated on out-of-laboratory field campaign data. The dark signal noise behaviour was investigated based on the exposure time and ambient temperature. The vignette effect coupled with nonuniform quantum efficiency was studied with respect to changing exposure times and illuminations to simulate field campaign conditions. The efficiency of the proposed correction workflow was validated by comparing the reflectance values that were extracted from a fully corrected image and the raw data of the reference spectroscopy measurement using three control targets. The Normalized Root Mean Square Errors (NRMSE) of all separate bands ranged from 0.24 to 2.10%, resulting in a significant improvement of the NRMSE compared to the raw data. The results of a field experiment demonstrated that the proposed correction workflow significantly improves the quality of multispectral imagery. The workflow was designed to be applicable to the out-of-laboratory conditions of UAV imaging campaigns in variable natural conditions and other types of multiarray imaging systems. View Full-Text
Keywords: UAV; multispectral sensor; Tetracam μMCA; radiometric corrections; atmospheric corrections; spectroscopy UAV; multispectral sensor; Tetracam μMCA; radiometric corrections; atmospheric corrections; spectroscopy
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MDPI and ACS Style

Minařík, R.; Langhammer, J.; Hanuš, J. Radiometric and Atmospheric Corrections of Multispectral μMCA Camera for UAV Spectroscopy. Remote Sens. 2019, 11, 2428. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11202428

AMA Style

Minařík R, Langhammer J, Hanuš J. Radiometric and Atmospheric Corrections of Multispectral μMCA Camera for UAV Spectroscopy. Remote Sensing. 2019; 11(20):2428. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11202428

Chicago/Turabian Style

Minařík, Robert, Jakub Langhammer, and Jan Hanuš. 2019. "Radiometric and Atmospheric Corrections of Multispectral μMCA Camera for UAV Spectroscopy" Remote Sensing 11, no. 20: 2428. https://0-doi-org.brum.beds.ac.uk/10.3390/rs11202428

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