Multiscale feature tuned trans-DeepLabV3+ based semantic segmentation of aerial images using improved red piranha optimization algorithm
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DOI: 10.1038/s41598-025-12940-5
Abstract: The use of higher-resolution spatial aerial images for semantic segmentation in everyday tasks has increased due to recent advancements in remote sensing and several other applications. Nonetheless, supervised learning necessitates a substantial quantity of images… read more here.
Keywords: feature tuned; multiscale feature; aerial images; semantic segmentation ... See more keywords