AN INVESTIGATION OF THE INFLUENCES OF TRAINING DATA PROPERTIES ON AERIAL IMAGE SEGMENTATION
While numerous studies are being conducted to improve neural network performance for image segmentation, studies on the impact of training data in terms of data quality, bias and labeling noise are comparatively scarce. When opening state of the art algorithms to a large and varying dataset, they do...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-05-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2022/245/2022/isprs-annals-V-2-2022-245-2022.pdf |