Radiometric and Atmospheric Corrections of Multispectral mu MCA Camera for UAV Spectroscopy

0519761 - ÚVGZ 2020 RIV CH eng J - Článek v odborném periodiku
Minarik, R. - Langhammer, J. - Hanuš, Jan
Radiometric and Atmospheric Corrections of Multispectral mu MCA Camera for UAV Spectroscopy.
Remote Sensing. Roč. 11, č. 20 (2019), č. článku 2428. E-ISSN 2072-4292
Výzkumná infrastruktura: CzeCOS II - 90061
Institucionální podpora: RVO:86652079
Klíčová slova: empirical line method * unmanned aircraft * calibration * system * sensors * imagery * crop * uav * multispectral sensor * Tetracam mu MCA * radiometric corrections * atmospheric corrections * spectroscopy
Obor OECD: Remote sensing
Impakt faktor: 4.509, rok: 2019
Způsob publikování: Open access
https://www.mdpi.com/2072-4292/11/20/2428

This study presents a complex empirical image-based radiometric calibration method for a Tetracam mu MCA 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.
Trvalý link: http://hdl.handle.net/11104/0304754