eumap.gapfiller

Gapfilling approaches using temporal and spatial neighbor pixels

Functions

time_first_space_later

Helper function to gapfill all the missing pixels using first a temporal strategy (TMWM, TLI, SSA) and later a spatial strategy (InPainting).

Classes

ImageGapfill	Abstract class responsible for read/write the raster files in all implemented gapfilling methods.
InPainting	Approach that uses a inpating technique [1] to gapfill raster data using neighborhood values.
OutlierRemover	Strategy to remove outliers considering the temporal domain.
SSA	Approach that uses a Singular Spectral Analysis (SSA [1]) to gapfill the missing values and smooth all the raster data.
TLI	Temporal Linear Interpolation able to gapfill the missing pixels using a linear regression [1] over the time using all valid pixels.
TMWM	Temporal Moving Window Median able to gapfill the missing pixels using the temporal neighborhood by a moving window to calculate several median possibilities.
TMWM2