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Implement SAR texture measures based on co-occurence matrices #1116
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@gilbertocamara you may be interested in https://github.com/ailich/GLCMTextures by @ailich |
Hi @Nowosad many thanks for the very useful tip! |
@gilbertocamara you are welcome. |
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Describe the new API function requested
Reccent papers on deforestation alerts, as for example "How textural features can improve SAR-based tropical forest disturbance mapping" indicate that some of the Haralick texture metrics based on co-occurence matrix can improve their accuracy.
For this reason, we should consider a new function
sits_sar_texture()
that implements the texture measures described in Table 2 of the above paper.Associated sits API function
sits_sar_texture(cube, measure, output_dir, multicores, memzise)
where:cube is a SAR image data cube and
measure
is one of grey-level co-occurence matrices (GLCM) metrics.The text was updated successfully, but these errors were encountered: