On Mon, Oct 28, 2019 at 10:46 AM Moritz Lennert
<mlennert@club.worldonline.be> wrote:
On 27/10/19 18:52, Markus Neteler wrote:
> Hi,
>
> I am using i.fusion.hpf on Worldview-2 data and see that the resulting
> range is completely different:
>
> # orig
> r.info -r wv2_17OCT08182034_M2AS_058891334010_01_P001.5
> min=0
> max=1509
>
> # HPF
> r.info -r wv2_17OCT08182034_M2AS_058891334010_01_P001.5.hpf
> min=-1045.79783524995
> max=3416.06793724612
Sorry, wrong flag, should have been -l ("Linearly match histogram of Pan-sharpened output to Multi-Spectral input")
And if you rescale the output manually to the input value range, do you still see a good fusion result ? If yes, then this could be added as a last step to the module.
* Markus Neteler <neteler@osgeo.org> [2019-10-28 12:33:44 +0100]:
On Mon, Oct 28, 2019 at 10:46 AM Moritz Lennert
<mlennert@club.worldonline.be> wrote:
On 27/10/19 18:52, Markus Neteler wrote:
> Hi,
>
> I am using i.fusion.hpf on Worldview-2 data and see that the resulting
> range is completely different:
>
> # orig
> r.info -r wv2_17OCT08182034_M2AS_058891334010_01_P001.5
> min=0
> max=1509
>
> # HPF
> r.info -r wv2_17OCT08182034_M2AS_058891334010_01_P001.5.hpf
> min=-1045.79783524995
> max=3416.06793724612
Mean values (and StdDev) don't change too much though. As I am looking
over the algorithm again, these days, I'll try to answer this in the
best possible way.
Mean values (and StdDev) don't change too much though. As I am looking
over the algorithm again, these days, I'll try to answer this in the
best possible way.
Cheers, Nikos
Also, try the histograms too. Shapes are rather preserved. Scales are
not.
On Mon, Oct 28, 2019 at 4:44 PM Moritz Lennert
<mlennert@club.worldonline.be> wrote:
On 28/10/19 12:33, Markus Neteler wrote:
> On Mon, Oct 28, 2019 at 10:46 AM Moritz Lennert
> <mlennert@club.worldonline.be> wrote:
>> On 27/10/19 18:52, Markus Neteler wrote:
>>> Hi,
>>>
>>> I am using i.fusion.hpf on Worldview-2 data and see that the resulting
>>> range is completely different:
>>>
>>> # orig
>>> r.info -r wv2_17OCT08182034_M2AS_058891334010_01_P001.5
>>> min=0
>>> max=1509
>>>
>>> # HPF
>>> r.info -r wv2_17OCT08182034_M2AS_058891334010_01_P001.5.hpf
>>> min=-1045.79783524995
>>> max=3416.06793724612
>>
>> Just guessing here, but did you try the -c flag ?
>
> Now yes:
>
> i.fusion.hpf pan=$PAN msx=$(g.list raster pattern="$COLORPREFIX.?"
> sep=comma) -c --o
>
> # band 8
> r.info -r wv2_17OCT08182034_M2AS_058891334010_01_P001.8
> min=0
> max=1605
>
> r.info -r wv2_17OCT08182034_M2AS_058891334010_01_P001.8.hpf
> min=-1163.98434592277
> max=3879.99538075697
>
> So, -c doesn't seem to have any effect here.
>
Sorry, wrong flag, should have been -l ("Linearly match histogram of
Pan-sharpened output to Multi-Spectral input")
And if you rescale the output manually to the input value range, do you
still see a good fusion result ? If yes, then this could be added as a
last step to the module.
In lack of time I cannot test that right now.
Nikos has a subset of my data, maybe he's able to check with that.
I had the same problem last time I used i.fusion.hpf for pansharpening a SPOT image (6m to 1.5m). Question is in my view if the resulting values mean anything (i.e., they can be used for estimation of spectral indices) or it is just for visual purposes? Sorry for my ignorance, but I haven’t found a clear-cut answer to this…
On the other hand, i.pansharpen does include a re-scaling step, but whatever bit depth is passed as input it will be re-scaled to 8-bit. If the input data is >8-bit, it is a bit of a loss of radiometric resolution (if the resulting values can be used for indices estimation)…
I’d appreciate your insights
Cheers,
Vero
El lun., 28 oct. 2019 a las 17:40, Markus Neteler (<neteler@osgeo.org>) escribió:
And if you rescale the output manually to the input value range, do you
still see a good fusion result ? If yes, then this could be added as a
last step to the module.
In lack of time I cannot test that right now.
Nikos has a subset of my data, maybe he’s able to check with that.
On the other hand, i.pansharpen does include a re-scaling step, but whatever bit depth is passed as input it will be re-scaled to 8-bit. If the input data is >8-bit, it is a bit of a loss of radiometric resolution (if the resulting values can be used for indices estimation)...
IIRC, this rescaling is due to the histogram matching step. This should probably be rewritten to allow arbitrary radiometric resolution.