GDAL_PANSHARPEN(1) GDAL GDAL_PANSHARPEN(1)
NAME
gdal_pansharpen - Perform a pansharpen operation.
SYNOPSIS
gdal_pansharpen [--help-general] pan_dataset {spectral_dataset[,band=num]}+ out_dataset
[-of format] [-b band]* [-w weight_val]*
[-r {nearest,bilinear,cubic,cubicspline,lanczos,average}]
[-threads {ALL_CPUS|number}] [-bitdepth val] [-nodata val]
[-spat_adjust {union,intersection,none,nonewithoutwarning}]
[-co NAME=VALUE]* [-q]
DESCRIPTION
The gdal_pansharpen.py script performs a pan-sharpening operation. It
can create a "classic" output dataset (such as GeoTIFF), or a VRT
dataset describing the pan-sharpening operation.
More details can be found in the gdal_vrttut_pansharpen section.
-of <format>:
Select the output format. Starting with GDAL 2.3, if not speci-
fied, the format is guessed from the extension (previously was
GTiff). Use the short format name. VRT can also be used.
-b <band>
Select band band from the input spectral bands for output. Bands
are numbered from 1 in the order spectral bands are specified.
Multiple -b switches may be used. When no -b switch is used, all
input spectral bands are set for output.
-w <weight_val>
Specify a weight for the computation of the pseudo panchromatic
value. There must be as many -w switches as input spectral
bands.
-r {nearest,bilinear,cubic (default),cubicspline,lanczos,average}
Select a resampling algorithm.
-threads {ALL_CPUS,number}
Specify number of threads to use to do the resampling and
pan-sharpening itself. Can be an integer number or ALL_CPUS.
-bitdepth <val>
Specify the bit depth of the panchromatic and spectral bands
(e.g. 12). If not specified, the NBITS metadata item from the
panchromatic band will be used if it exists.
-nodata <val>
Specify nodata value for bands. Used for the resampling and
pan-sharpening computation itself. If not set, deduced from the
input bands, provided they have a consistent setting.
-spat_adjust {union(default),intersection,none,nonewithoutwarning}
Select behavior when bands have not the same extent. See Spa-
tialExtentAdjustment documentation in gdal_vrttut_pansharpen
-co <NAME=VALUE>
Many formats have one or more optional creation options that can
be used to control particulars about the file created. For in-
stance, the GeoTIFF driver supports creation options to control
compression, and whether the file should be tiled.
The creation options available vary by format driver, and some
simple formats have no creation options at all. A list of op-
tions supported for a format can be listed with the --formats
command line option but the documentation for the format is the
definitive source of information on driver creation options.
See raster_drivers format specific documentation for legal cre-
ation options for each format.
-q Suppress progress monitor and other non-error output.
<pan_dataset>
Dataset with panchromatic band (first band will be used).
<spectral_dataset>[,band=num]
Dataset with one or several spectral bands. If the band option
is not specified, all bands of the datasets are taken into ac-
count. Otherwise, only the specified (num)th band. The same
dataset can be repeated several times.
<out_dataset>
Output dataset
Bands should be in the same projection.
EXAMPLE
With spectral bands in a single dataset :
gdal_pansharpen.py panchro.tif multispectral.tif pansharpened_out.tif
With a few spectral bands from a single dataset, reordered :
gdal_pansharpen.py panchro.tif multispectral.tif,band=3 multispectral.tif,band=2 multispectral.tif,band=1 pansharpened_out.tif
With spectral bands in several datasets :
gdal_pansharpen.py panchro.tif band1.tif band2.tif band3.tif pansharpened_out.tif
Specify weights:
gdal_pansharpen.py -w 0.7 -w 0.2 -w 0.1 panchro.tif multispectral.tif pansharpened_out.tif
Specify RGB bands from a RGBNir multispectral dataset while computing
the pseudo panchromatic intensity on the 4 RGBNir bands:
gdal_pansharpen.py -b 1 -b 2 -b 3 panchro.tif rgbnir.tif pansharpened_out.tif
AUTHOR
Even Rouault <even.rouault@spatialys.com>
COPYRIGHT
1998-2021
Dec 27, 2021 GDAL_PANSHARPEN(1)
Generated by dwww version 1.14 on Mon Feb 3 08:28:29 CET 2025.