sits_TWDTW_matches: Find matches between a set of SITS patterns and segments of...

In luizassis/sits: Satellite Image Time Series Analysis

Description

Returns a sits table with the results of the TWDTW classifier. The TWDTW classifier compares the values of a satellite image time series with the values of known patters and tries to match each pattern to a part of the time series

The TWDTW (time-weighted dynamical time warping) is a version of the Dynamic Time Warping method for land use and land cover mapping using a sequence of multi-band satellite images. Methods based on dynamic time warping are flexible to handle irregular sampling and out-of-phase time series, and they have achieved significant results in time series analysis. In contrast to standard DTW, the TWDTW method is sensitive to seasonal changes of natural and cultivated vegetation types. It also considers inter-annual climatic and seasonal variability.

Usage

sits_TWDTW_matches(data.tb = NULL, patterns.tb = NULL, bands = NULL,
  dist.method = "euclidean", alpha = -0.1, beta = 100, theta = 0.5,
  span = 250, keep = FALSE)

Arguments

data.tb	a table in SITS format with a time series to be classified using TWTDW
patterns.tb	a set of known temporal signatures for the chosen classes
bands	string - the bands to be used for classification
dist.method	A character. Method to derive the local cost matrix.
alpha	(double) - the steepness of the logistic function used for temporal weighting
beta	(integer) - the midpoint (in days) of the logistic function
theta	(double) - the relative weight of the time distance compared to the dtw distance
span	minimum number of days between two matches of the same pattern in the time series (approximate)
keep	keep internal values for plotting matches

Value

matches a SITS table with the information on matches for the data

Author(s)

Victor Maus, [e-mail]

Gilberto Camara, [e-mail]

References

Maus V, Camara G, Cartaxo R, Sanchez A, Ramos FM, de Queiroz GR (2016). A Time-Weighted Dynamic Time Warping Method for Land-Use and Land-Cover Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(8):3729-3739, August 2016. ISSN 1939-1404. doi:10.1109/JSTARS.2016.2517118.

luizassis/sits documentation built on May 30, 2019, 7:15 p.m.