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...
Saved in:
| Main Authors: | Aaron E Maxwell, Sarah Farhadpour, Srinjoy Das, Yalin Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0315127 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
imageseg: An R package for deep learning‐based image segmentation
by: Jürgen Niedballa, et al.
Published: (2022-11-01) -
Comparing UNet configurations for anthropogenic geomorphic feature extraction from land surface parameters
by: Sarah Farhadpour, et al.
Published: (2025-01-01) -
Comparing UNet configurations for anthropogenic geomorphic feature extraction from land surface parameters.
by: Sarah Farhadpour, et al.
Published: (2025-01-01) -
Passing the torch
by: Leonard A. Brennan, et al.
Published: (2013-12-01) -
Passing on the Torch
by: Shyamkumar N. Keshava
Published: (2024-04-01)