{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T08:44:20Z","timestamp":1776329060995,"version":"3.50.1"},"reference-count":61,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T00:00:00Z","timestamp":1681344000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Military University of Technology","award":["815\/2023"],"award-info":[{"award-number":["815\/2023"]}]},{"name":"Military University of Technology","award":["GB\/1\/2018\/205\/2018\/DA-990"],"award-info":[{"award-number":["GB\/1\/2018\/205\/2018\/DA-990"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This article aims to present the methods of the radiometric correction of multispectral images\u2014a short review of the existing techniques. The role of radiometric correction is essential to many applications, especially in precision farming, forestry, and climate analysis. Moreover, this paper presents a new relative approach, which considers the angle of inclination of the terrain and the angle of incidence of electromagnetic radiation on the imaged objects when obtaining the baseline data. This method was developed for data obtained from low altitudes\u2014for imagery data acquired by sensors mounted on UAV platforms. The paper analyses the effect of the correction on the spectral information, i.e., the compatibility of the spectral reflection characteristics obtained from the image with the spectral reflection characteristics obtained in the field. The developed method of correction for multispectral data obtained from low altitudes allows for the mapping of spectral reflection characteristics to an extent that allows for the classification of terrestrial coverage with an accuracy of over 95%. In addition, it is possible to distinguish objects that are very similar in terms of spectral reflection characteristics. This research presents a new method of correction of each spectral channel obtained by the multispectral camera, increasing the accuracy of the results obtained, e.g., based on SAM coefficients or correlations, but also when distinguishing land cover types during classification. The results are characterized by high accuracy (over 94% in classification).<\/jats:p>","DOI":"10.3390\/rs15082059","type":"journal-article","created":{"date-parts":[[2023,4,14]],"date-time":"2023-04-14T01:32:03Z","timestamp":1681435923000},"page":"2059","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Radiometric Correction with Topography Influence of Multispectral Imagery Obtained from Unmanned Aerial Vehicles"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2780-8010","authenticated-orcid":false,"given":"Agnieszka","family":"Jenerowicz","sequence":"first","affiliation":[{"name":"Department of Imagery Intelligence, Faculty of Civil Engineering and Geodesy, Military University of Technology, 00-908 Warsaw, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6192-3894","authenticated-orcid":false,"given":"Damian","family":"Wierzbicki","sequence":"additional","affiliation":[{"name":"Department of Imagery Intelligence, Faculty of Civil Engineering and Geodesy, Military University of Technology, 00-908 Warsaw, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0684-3717","authenticated-orcid":false,"given":"Michal","family":"Kedzierski","sequence":"additional","affiliation":[{"name":"Department of Imagery Intelligence, Faculty of Civil Engineering and Geodesy, Military University of Technology, 00-908 Warsaw, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5006","DOI":"10.3390\/rs5105006","article-title":"Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture","volume":"5","author":"Honkavaara","year":"2013","journal-title":"Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Qiu, Z., Feng, Z.-K., Wang, M., Li, Z., and Lu, C. 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