Re: [GRASS-dev] improve resolution of bands

[Markus Metz]

On Sat, Oct 21, 2017 at 12:45 AM, Nikos Alexandris 
wrote:
>
> * Moritz Lennert  [2017-10-20 15:08:18
+0200]:
>
>> On 20/10/17 11:37, Luca Delucchi wrote:
>>>
>>> Hi devs,
>>>
>>> I just discovered this [0], I think it could be really useful this
functionality in GRASS too, what do you think? The code is LGPL so it
>>> could be ported "easily" in GRASS.
>>>
>>>
>>> [0] http://nicolas.brodu.net/recherche/superres/index.html
>>
>>
>> +1
>
>
> Certainly a valued addition for GRASS and the community.

>From the documentation:
"The method is quite computationally intensive. Please use a small test
region of interest first, and only then expand according to your needs /
available computing power."

This should be tested first to decide if it should be included in GRASS
GIS. People tend to throw huge datasets into GRASS and expect that it works.

Markus M
>
>> IIUC, it's a new technique for image fusion ? As of now, we have
>> i.pansharpen in core which offers very basic fusion techniques and
>> Nikos' i.fusion.hpf in addons. New techniques would certainly be welcome.
>>
>> A while ago, I was looking at Bayesian fusion methods, notably R-FUSE
[1], for which Matlab code is available [2], but haven't had the time to go
further. That might be another method that would be great to implement.
>
>
> There is also this one http://www.freepatentsonline.com/8737733.html.
> Not exactly new. Yet, I fear it cannot be freely used (as in cost-free).
> If anyone could confirm.
>
> [..]
>
> Nikos
>
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Re: [GRASS-dev] improve resolution of bands

[Nikos Alexandris]

* Moritz Lennert  [2017-10-20 15:08:18 +0200]:


On 20/10/17 11:37, Luca Delucchi wrote:

Hi devs,

I just discovered this [0], I think it could be really useful this 
functionality in GRASS too, what do you think? The code is LGPL so 
it

could be ported "easily" in GRASS.


[0] http://nicolas.brodu.net/recherche/superres/index.html


+1


Certainly a valued addition for GRASS and the community.


IIUC, it's a new technique for image fusion ? As of now, we have
i.pansharpen in core which offers very basic fusion techniques and
Nikos' i.fusion.hpf in addons. New techniques would certainly be welcome.

A while ago, I was looking at Bayesian fusion methods, notably R-FUSE 
[1], for which Matlab code is available [2], but haven't had the time 
to go further. That might be another method that would be great to 
implement.


There is also this one http://www.freepatentsonline.com/8737733.html.
Not exactly new. Yet, I fear it cannot be freely used (as in cost-free).
If anyone could confirm.

[..]

Nikos


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Re: [GRASS-dev] improve resolution of bands

[Moritz Lennert]

On 20/10/17 15:15, Margherita Di Leo wrote:



On Fri, Oct 20, 2017 at 3:08 PM, Moritz Lennert 
> wrote:


On 20/10/17 11:37, Luca Delucchi wrote:

Hi devs,

I just discovered this [0], I think it could be really useful
this functionality in GRASS too, what do you think? The code is
LGPL so it
could be ported "easily" in GRASS.


[0] http://nicolas.brodu.net/recherche/superres/index.html



+1

IIUC, it's a new technique for image fusion ? As of now, we have
i.pansharpen in core which offers very basic fusion techniques and
Nikos' i.fusion.hpf in addons. New techniques would certainly be
welcome.

A while ago, I was looking at Bayesian fusion methods, notably
R-FUSE [1], for which Matlab code is available [2], but haven't had
the time to go further. That might be another method that would be
great to implement.

Maybe also something to keep in mind for next GSoC ?


This sounds like a great idea, please don't let it fade out, it's always 
a good time to collect the ideas into the ideas page


https://trac.osgeo.org/grass/wiki/GSoC/2018

:-)

Moritz
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Re: [GRASS-dev] improve resolution of bands

[Margherita Di Leo]

On Fri, Oct 20, 2017 at 3:08 PM, Moritz Lennert <
mlenn...@club.worldonline.be> wrote:

> On 20/10/17 11:37, Luca Delucchi wrote:
>
>> Hi devs,
>>
>> I just discovered this [0], I think it could be really useful this
>> functionality in GRASS too, what do you think? The code is LGPL so it
>> could be ported "easily" in GRASS.
>>
>>
>> [0] http://nicolas.brodu.net/recherche/superres/index.html
>>
>
> +1
>
> IIUC, it's a new technique for image fusion ? As of now, we have
> i.pansharpen in core which offers very basic fusion techniques and
> Nikos' i.fusion.hpf in addons. New techniques would certainly be welcome.
>
> A while ago, I was looking at Bayesian fusion methods, notably R-FUSE [1],
> for which Matlab code is available [2], but haven't had the time to go
> further. That might be another method that would be great to implement.
>
> Maybe also something to keep in mind for next GSoC ?
>

This sounds like a great idea, please don't let it fade out, it's always a
good time to collect the ideas into the ideas page

Thanks


-- 
Margherita Di Leo
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Re: [GRASS-dev] improve resolution of bands

[Moritz Lennert]

On 20/10/17 11:37, Luca Delucchi wrote:

Hi devs,

I just discovered this [0], I think it could be really useful this 
functionality in GRASS too, what do you think? The code is LGPL so it

could be ported "easily" in GRASS.


[0] http://nicolas.brodu.net/recherche/superres/index.html


+1

IIUC, it's a new technique for image fusion ? As of now, we have
i.pansharpen in core which offers very basic fusion techniques and
Nikos' i.fusion.hpf in addons. New techniques would certainly be welcome.

A while ago, I was looking at Bayesian fusion methods, notably R-FUSE 
[1], for which Matlab code is available [2], but haven't had the time to 
go further. That might be another method that would be great to implement.


Maybe also something to keep in mind for next GSoC ?

Moritz



[1] http://oatao.univ-toulouse.fr/16629/7/wei_16629.pdf
[2] https://github.com/qw245/BlindFuse


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Re: [GRASS-dev] improve resolution of bands

[Veronica Andreo]

Hi

2017-10-20 11:37 GMT+02:00 Luca Delucchi :

> Hi devs,
>
> I just discovered this [0], I think it could be really useful this
> functionality in GRASS too, what do you think?
> The code is LGPL so it could be ported "easily" in GRASS.
>

+1 :)
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