iota2.common.tools.landsat_shift

Functions

disparityMapEstimation(s2ImageIn, l8ImageIn, ...)	Estimate de disparity map between S2 and L8.
estimateMeanShiftAndStd(l8ImageIn, s2ImageIn)	Estimates the mean shift in X and Y together with standard deviations
estimateMeanShiftAndStdFromDisparityMap(...)	Use image statistics (ignore backgroundValue) to estimate the mean and the std of the disparity map component
filterDisparityMap(dmIn, dmComponentOut[, ...])	Filter a component (x or y) of the disparity map using a metric validity threshold.
getLandsatRedBand(l8ImageIn, l8RedBandOut[, ...])	Extract the red band of the Landsat-8 image
landsatShift(l8ImageIn, s2ImageIn[, ...])	Estimates the shift and then applies the meta-data modification
shiftImage(l8ImageIn, dx, dy[, ...])	Modify the image meta-data to apply a global shift
subsampleS2(s2ImageIn, s2ImageOut, l8ImageIn)	Subsample the Sentinel-2 image to the Landsat-8 resolution
superimpose(inImage, referenceImage, outImage)	Superimpose one image on top of another one using the projection information