geodl: An R package for geospatial deep learning semantic segmentation using torch and terra
Convolutional neural network (CNN)-based deep learning (DL) methods have transformed the analysis of geospatial, Earth observation, and geophysical data due to their ability to model spatial context information at multiple scales. Such methods are especially applicable to pixel-level classification...
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| Published in: | PloS one Vol. 19; no. 12; p. e0315127 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Public Library of Science
05.12.2024
Public Library of Science (PLoS) |
| Subjects: | |
| ISSN: | 1932-6203, 1932-6203 |
| Online Access: | Get full text |
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