sits_keras_save

model

An hdf5 file where the keras model is to be saved.

hdffile

A rds file where the R environment is to be saved.

rdsfile

Takes a Keras model and saves it in two files.
One file is the keras model itself (saved as hdf5)
and the other is the R environment required for sits
to work with the model.

A set of tools for working with satellite image time series, both as individual data or as part of data cubes.
Supports data retrieval from a web time series service (WTSS), raster bricks and cubes from the Brazilan Data Cube.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Includes functions for smoothing based on Bayesian inference.
Enables different clustering methods, including dendrograms and self-organized maps (SOM).
Matches noiseless patterns with noisy time series using the time-weighted dynamic time warping (TWDTW) method for shape recognition.
Provides machine learning methods for time series classification, including support vector machines (SVM), random forests and deep learning.
Minimum recommended requirements: 8 GB RAM and 1 CPU dual-core.

Gilberto Camara

sits

Satellite Image Time Series Analysis for Remote Sensing Data Cubes

Rolf Simoes

Felipe Souza

Pedro Andrade

Lorena Santos

Alexandre Carvalho

Gilberto Queiroz

Karine Ferreira

Alber Sanchez

Victor Maus

sits_keras_save function

Save a Keras model for later processing in sits — sits_keras_save

Save a Keras model for later processing in sits

sits_keras_save: Save a Keras model for later processing in sits

Description

Usage

Arguments