2023
DOI: 10.1016/j.rse.2023.113452
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Semantic segmentation of water bodies in very high-resolution satellite and aerial images

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Cited by 72 publications
(29 citation statements)
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“…A recent study by Wieland et al. (2023) attributed improvements to their segmentation performance as a result of data augmentation, which helped introduce variations, as would be expected in real‐world scenarios, that were otherwise not present in their training data set. Gonçalves et al.…”
Section: Discussionmentioning
confidence: 99%
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“…A recent study by Wieland et al. (2023) attributed improvements to their segmentation performance as a result of data augmentation, which helped introduce variations, as would be expected in real‐world scenarios, that were otherwise not present in their training data set. Gonçalves et al.…”
Section: Discussionmentioning
confidence: 99%
“…Although data augmentation has been widely used when training deep learning networks, a less common way of improving semantic segmentation prediction accuracy is TTA (see, e.g., Gonzalo‐Martín et al., 2021; J. Liu et al., 2022; Moshkov et al., 2020; Wieland et al., 2023). TTA involves applying augmentation transformations on the test image to create an ensemble of predictions, which are then averaged, to improve prediction results.…”
Section: Methodsmentioning
confidence: 99%
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“…The decoder, employing upsampling and convolution operations, remaps the features extracted by the encoder back to the original size of the image, thereby generating segmentation results with the same resolution as the original image [35,36]. In the study, UpSampling2D is used for the upsampling operations, doubling the size.…”
Section: U-netmentioning
confidence: 99%
“…As one of the fundamental components of the Earth's natural ecosystem, surface water plays a critical role in maintaining biodiversity, ecological balance, and the development of human societies (Vörösmarty et al 2010). Due to its wide spatial and temporal distribution, using satellite imagery to detect and map the global surface water is a feasible and convenient method, leading to promising breakthroughs that are applied in the flood mapping (Wieland et al 2023), surface water changes (Donchyts et al 2016;Pekel et al 2016), and other assessments of water resources (Wang et al 2020b).…”
Section: Introductionmentioning
confidence: 99%