Published April 2, 2019
| Version v1.0.0
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Exercise with pixel based supervised classification of Sentinel-2 multispectral images in R. Comparing Random Forests, SVM and Neural Networks.
Description
This repository is a sandbox for experimenting with the R caret package - using Random Forests, Support Vector Machines and Neural Networks for a classic pixel based supervised classification/supervised learning of Sentinel-2 multispectral images.
Files
valentinitnelav/satellite-image-classification-r-v1.0.0.zip
Files
(19.2 MB)
| Name | Size | Download all |
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md5:d864857021438ffd4a9583907f94b01f
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19.2 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/valentinitnelav/satellite-image-classification-r/tree/v1.0.0 (URL)