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I want to pan sharpen my Landsat8 scene (according to FIHS algorithm, see here).

According to the paper the following equation should do the pansharpening:

MS_high <- MS_low + (pan - I)

"MS_high" is the pansharpened MS band and "MS_low" the original MS band.

The I image is intended to be a simulated image of the Pan band at the spatial resolution of the MS bands. Spatial details from Pan are obtained by subtracting the lower resolution I band from the higher resolution Pan band.

When doing the substraction (Pan - I) the following output occurs:

Error in compareRaster(e1, e2, extent = FALSE, rowcol = FALSE, crs = TRUE, : different resolution

Does anyone used the FIHS pansharpening algorithm in R so far?

Any suggestions are welcome.

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    Do the two rasters (Pan and I) have the same resolution? I.e. did you properly resample the I channel first? – Matthias Kuhn Oct 6 '15 at 14:07
  • Thanks for your quick reply. So you think I should do the following steps: 1. resample I to 15m with function resample(I, pan) and then do in a second step the substraction pan (15m resolution) - I (15m resolution)? – Seb Oct 6 '15 at 14:12
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    That's what reading the error message : different resolution suggests. – Matthias Kuhn Oct 6 '15 at 15:45
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Have a look at panSharp from the satellite package. The function works with regular 'RasterLayer' objects (refer to the second example in ?panSharp, which is also shown below) and supports inputs of different spatial resolution, i.e. internally performs raster::resample. The only arguments panSharp requires are a target layer (x) and the panchromatic channel (pan).

## sample data
path <- system.file("extdata", package = "satellite")
files <- list.files(path, pattern = glob2rx("LC8*.tif"), full.names = TRUE)
sat <- satellite(files)

# target channel
rst_b001n <- getSatDataLayer(sat, "B001n")
# panchromatic channel
rst_panch <- getSatDataLayer(sat, getSatBCDEFromType(sat, type = "PCM"))

## pan-sharpen target layer
rst_b001n_ps <- panSharp(rst_b001n, rst_panch)

pansharpen

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