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Rapid radiometric calibration of multiple camera array using in-situ data for UAV multispectral photogrammetry

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F19%3A10399035" target="_blank" >RIV/00216208:11310/19:10399035 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.5194/isprs-archives-XLII-2-W17-209-2019" target="_blank" >https://doi.org/10.5194/isprs-archives-XLII-2-W17-209-2019</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5194/isprs-archives-XLII-2-W17-209-2019" target="_blank" >10.5194/isprs-archives-XLII-2-W17-209-2019</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Rapid radiometric calibration of multiple camera array using in-situ data for UAV multispectral photogrammetry

  • Original language description

    This study compares two possible radiometric calibration approaches of Tetracam μMCA Snap multispectral camera using the Dark offset subtraction and Look-Up Table (LUT) methods. A laboratory-based calibration using correction images taken under the controlled conditions was compared with a rapid in-situ based calibration featuring correction images taken during the field campaign. The hypothesis was that the accuracy of in-situ calibration could be comparable with the laboratory calibration, and thus could replace it and simplify the radiometric calibration process. The accuracy of calibration approaches was assessed by comparison of three validation targets reflectance values extracted from corrected UAV images based on laboratory and in-situ calibration with a reference spectroscopy measurement. The results of the field experiment showed that both calibration approaches led to significant accuracy improvement compared to raw data. The vignetting correction using resulted in a significant reduction of the Coefficient of variation by half in all bands and overall equalizing the DNs on the selected diagonal profile. The NRMSEs after processing all corrections ranged from 0.24 to 3.40%. Although the statistical testing revealed slightly better agreement of laboratory calibrated reflectance with reference data, the accuracy of in-situ calibration is sufficient, because the accuracy improvement quantified by the NRMSE is 2 - 10 times better using both calibration approaches compared to raw data than the NRMSE differences between them. These findings make the proposed in-situ approach usable for various environmental studies featuring UAV multispectral photogrammetry.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10508 - Physical geography

Result continuities

  • Project

    <a href="/en/project/LTC19024" target="_blank" >LTC19024: Harmonization of UAS techniques for agricultural and natural ecosystems monitoring</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

  • ISBN

  • ISSN

    2194-9034

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    209-215

  • Publisher name

    Copernicus GmbH

  • Place of publication

    Göttingen

  • Event location

    Strasbourg

  • Event date

    Dec 2, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article