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SITSAR 1.0.0

• Complete rewrite of the package, gathering the methods of the master’s dissertation and PhD thesis of Jodavid A. Ferreira.
• Intensity distributions: Gamma, generalized Gamma and G0I (exact distribution and quantile functions through the F distribution).
• Matrix distributions: scaled complex Wishart, G0 polarimetric, compound truncated Poisson and compound geometric complex Wishart.
• R6 classes GammaSAR, G0I, GGammaSAR, WishartSAR, G0Polarimetric and CompoundWishart with maximum likelihood / EM estimation, Shannon entropy and asymptotic variance of the entropy estimator, plus tidy(), glance() and logLik() methods.
• SARImage R6 class, sar_features(), fast vectorised entropy_map() and plot_map().
• Entropy-based segmentation (EntropySegmenter, segment_sar()), hypothesis tests (entropy_test()) and change detection (change_map()).
• Divergences between Gaussian and complex Wishart laws, the DivergenceClassifier R6 class and the divergence_classifier() ‘parsnip’ model for ‘tidymodels’ workflows.
• Accuracy measures: kappa_statistics() and change_detection_metrics().
• New dataset SanFrancisco150_gt (ground truth) and new octagonal logo.
• Functions of previous versions (dg0i(), pg0i(), qg0i(), rg0i(), g0iestimation(), distancesg0i() and distancesg0itable()) are kept.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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