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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F19%3A00519761" target="_blank" >RIV/86652079:_____/19:00519761 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2072-4292/11/20/2428" target="_blank" >https://www.mdpi.com/2072-4292/11/20/2428</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs11202428" target="_blank" >10.3390/rs11202428</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20705 - Remote sensing

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Remote Sensing

ISSN

2072-4292

e-ISSN

—

Volume of the periodical

11

Issue of the periodical within the volume

20

Country of publishing house

CH - SWITZERLAND

Number of pages

31

Pages from-to

2428

UT code for WoS article

000498395800096

EID of the result in the Scopus database

2-s2.0-85074195868