Package index

Package overview

SITSAR SITSAR-package

SITSAR: Information Theory, Geometry and Statistics for SAR Data

Intensity distributions

Univariate models for SAR intensities.

dg0i() pg0i() qg0i() rg0i()

The G0I distribution for SAR intensities

dgammasar() pgammasar() qgammasar() rgammasar()

The Gamma distribution for SAR intensities

dggamma() pggamma() qggamma() rggamma()

The generalized Gamma distribution for SAR intensities

Matrix (PolSAR) distributions

Models for Hermitian positive definite PolSAR matrices.

dwishart_sar() rwishart_sar()

The scaled complex Wishart distribution

dg0p() rg0p()

The G0 polarimetric distribution

dctpcw() rctpcw() dcgcw() rcgcw()

Compound complex Wishart distributions

as_polsar_array() as_polsar_vec()

Convert between PolSAR storage formats

polsar_example_sigma()

Example PolSAR covariance matrices

R6 statistical models

Estimation, Shannon entropy and asymptotic variances.

SARModel

Base R6 class for SAR and PolSAR statistical models

GammaSAR

Gamma model for SAR intensities (R6)

G0I

G0I model for SAR intensities (R6)

GGammaSAR

Generalized Gamma model for SAR intensities (R6)

WishartSAR

Scaled complex Wishart model for PolSAR data (R6)

G0Polarimetric

G0 polarimetric model for PolSAR data (R6)

CompoundWishart

Compound complex Wishart models (R6)

tidy(<SARModel>) glance(<SARModel>) logLik(<SARModel>)

Tidy and glance methods for SITSAR models

g0iestimation()

Estimation of G0I parameters

Shannon entropy

entropy_gamma() entropy_g0i() entropy_ggamma() entropy_wishart() entropy_g0p()

Shannon entropies of SAR and PolSAR models

entropy_map()

Shannon entropy maps

entropy_test()

Entropy-based test for two SAR samples

Images

SARImage

SAR and PolSAR images (R6)

sar_features()

Local features of SAR images for pixel classification

plot_map()

Plot a map

Segmentation and change detection

EntropySegmenter

Entropy-based segmentation by (stochastic) EM (R6)

segment_sar()

Entropy-based segmentation of a SAR/PolSAR image

change_map()

Entropy-based change detection between two images

Divergences and classification

divergence_gaussian() divergence_wishart()

Divergences between Gaussian and complex Wishart models

distancesg0i()

Stochastic distances between G0I distributions

distancesg0itable()

Table of G0I stochastic distances between two image regions

DivergenceClassifier

Divergence-based classifier for SAR/PolSAR features (R6)

divergence_classifier() update(<divergence_classifier>)

Divergence-based classifier as a 'parsnip' model

renyi_order() divergence_type() renyi_kind()

Tuning parameters for the divergence classifier

Accuracy assessment

kappa_statistics()

Kappa coefficient and overall accuracy

change_detection_metrics()

Accuracy measures for change detection

Datasets

SanFrancisco150

San Francisco PolSAR image (150 x 150 pixels)

SanFrancisco150_gt

Ground truth of the San Francisco image

Re-exported functions

reexports as_tibble tidy glance

Objects exported from other packages