.sits_match_indexes

Timeline of input observations (vector).

timeline

A list of breaks that will be applied to the input data set.

ref_dates.lst

For correct classification, the time series of the input data set
 should be aligned to that of the reference data set (usually a set of patterns).
 This function aligns these data sets so that shape matching works correctly

A set of tools for working with satellite image time series.
Supports data retrieval from a WTSS (web time series service) and other data sets.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Enables different clustering methods, including dendrograms and SOM.
Matches noiseless patterns with noisy time series using the TWDTW method for shape recognition.
Provide machine learning methods for time series classification, including SVM, LDA, QDA, GLM, Lasso, Random Forests and Deep Learning.

Pedro Andrade

sits

Satellite Image Time Series Analysis

Rolf Simoes

Gilberto Camara

Victor Maus

Alexandre Carvalho

Lorena Santos

Gilberto Queiroz

Alber Sanchez

Luiz Assis

Adeline Marinho

.sits_match_indexes function

Find indexes in a timeline that match the reference dates — .sits_match_indexes

Find indexes in a timeline that match the reference dates

.sits_match_indexes: Find indexes in a timeline that match the reference dates

Description

Usage

Arguments

Value