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deforestable: Classify RGB Images into Forest or Non-Forest
Implements two out-of box classifiers presented in <doi:10.48550/arXiv.2112.01063> for distinguishing forest and non-forest terrain images. Under these algorithms, there are frequentist approaches: one parametric, using stable distributions, and another one- non-parametric, using the squared Mahalanobis distance. The package also contains functions for data handling and building of new classifiers as well as some test data set.
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Package details |
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| Author | Jesper Muren [aut] (<https://orcid.org/0000-0002-9208-5325>), Dmitry Otryakhin [aut, cre] (<https://orcid.org/0000-0002-4700-7221>) |
| Maintainer | Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch> |
| License | GPL-3 |
| Version | 3.1.1 |
| Package repository | View on CRAN |
| Installation |
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