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. 2022 Mar 9;12:3804. doi: 10.1038/s41598-022-07733-z

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Plotted confidence scores (y-axis) of all detections (x-axis) in low-to-high order (from left to right). The steepest gradient, which supports the best defined confidence-score thresholding, was always achieved with maximum·median combination. While the difference to other combination methods (and to no combination (none), that is, single integral image classification) was low without occlusion (open field), it was significant in the presence of occlusion (conifer and broadleaf forest).