svm-pytorch
dzetsaka
| svm-pytorch | dzetsaka | |
|---|---|---|
| 1 | 2 | |
| 159 | 77 | |
| - | - | |
| 0.0 | 0.0 | |
| 9 months ago | almost 3 years ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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svm-pytorch
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CNN-SVM
For example, take a look at this SVM implementation in Pytorch: https://github.com/kazuto1011/svm-pytorch.
dzetsaka
- How would i clean manmade features like airports and canals from gis data from an entire country.
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Remote Sensing and Mangroves
You can use Sentinel 2 data (https://scihub.copernicus.eu/) and perform a supervised classification in QGIS using dsetzaka plugin (https://github.com/nkarasiak/dzetsaka) and extract boundaries. First remember to install scikit learn into QGIS (be aware to install it into QGIS python repository) otherwise you won't be able to run random forest from the plugin. Then do the same for other dates and create a time serie. At this point you can easily measure area changes. Id suggest to apply NDVI, NDMI, GCI and SIPI to assess health status of vegetation
What are some alternatives?
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