[GRASS-dev] improve resolution of bands

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

--
ciao
Luca

www.lucadelu.org

Hi

···

2017-10-20 11:37 GMT+02:00 Luca Delucchi <lucadeluge@gmail.com>:

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 :slight_smile:

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

On Fri, Oct 20, 2017 at 3:08 PM, Moritz Lennert <
mlennert@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

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

On Fri, Oct 20, 2017 at 3:08 PM, Moritz Lennert <mlennert@club.worldonline.be <mailto:mlennert@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
        <http://nicolas.brodu.net/recherche/superres/index.html&gt;

    +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

:slight_smile:

Moritz

* Moritz Lennert <mlennert@club.worldonline.be> [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

On Sat, Oct 21, 2017 at 12:45 AM, Nikos Alexandris <nik@nikosalexandris.net> 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

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


grass-dev mailing list
grass-dev@lists.osgeo.org
https://lists.osgeo.org/mailman/listinfo/grass-dev