NAME
r.fusion - image fusion, generalized pan-sharpening
KEYWORDS
raster,
imagery,
fusion,
sharpen
SYNOPSIS
r.fusion
r.fusion --help
r.fusion [-r] input=name highres=name [method=string] output=name [--overwrite] [--help] [--verbose] [--quiet] [--ui]
Flags:
- -r
- Restrict output value range to input value range
- Recommended for imagery with a defined valid value range, e.g. [0, 255]
- --overwrite
- Allow output files to overwrite existing files
- --help
- Print usage summary
- --verbose
- Verbose module output
- --quiet
- Quiet module output
- --ui
- Force launching GUI dialog
Parameters:
- input=name [required]
- Low-resolution raster to be enhanced
- highres=name [required]
- High-resolution raster with spatial detail
- method=string
- Solution method: Finite Diff. or Superpos. of analytical sol'ns
- Options: difference, proportion
- Default: difference
- output=name [required]
- Name for output raster map
r.fusion enhances the resolution of a raster map by using spatial
detail of a high-resolution map. The actual values in the resultant output map
correspond to the input map while the spatial detail corresponds to the
high-resolution map. The effect is similar to pan-sharpening, but the method
can be applied more generally, not only to imagery but also to climatological
data such as temperature or precipitation.
Two different methods are available with the
method option:
difference and
proportion.
The difference method uses the formula
A - B + B = A
more specifically
highres(Alowres - Blowres) + Bhighres = Ahighres
where highres() is a function to interpolate the differences. Here,
r.resamp.filter is used for interpolation.
The proportion method is suitable for e.g. precipitation where zero
precipition must stay zero precipition, and uses the formula
A / B * B = A
more specifically
highres(Alowres / Blowres) * Bhighres = Ahighres
Again, highres() is a function to interpolate the proportions, and
r.resamp.filter is used for interpolation. For the proportion
method, all values in the high-resolution B map must be > 0.
r.resamp.filter
Markus Metz, mundialis
SOURCE CODE
Available at:
r.fusion source code
(history)
Latest change: Monday Jun 24 08:16:48 2024 in commit: 8939a985d18de5366340b88037ab0fe3a0814c9b
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© 2003-2024
GRASS Development Team,
GRASS GIS 8.4.1dev Reference Manual