Re: [GRASS-dev] [GSOC 2018] - Implement a series of image fusion algorithms in GRASS GIS
Hi Tudor, Please share your proposal as public, because you have submitted it as final, but we cannot either see it until deadline either comment it, so you cannot benefit from feedback and we will evaluate it as it is. Also, please read the recommendations at https://wiki.osgeo.org/wiki/Google_Summer_of_Code_Recommendations_for_Students and introduce yourself in soc mailing list. Good luck! Cheers Il giorno ven 2 mar 2018 alle 10:35 Tudor-Emil COMAN (25633) < tudor_emil.co...@stud.acs.upb.ro> ha scritto: > Hi, > > > My name is Tudor-Emil Coman and I study Computer Science at the Faculty of > Automatic Control and Computer Science in Bucharest, Romania as a MSc > student. > > I'm currently researching geospatial image processing technologies and I > have > primarly worked with Sentinel 2 data on numerous frameworks like ESA SNAP, > GDAL, GeoDjango, PostGIS and of course GRASS GIS. > > I'm very interested in working this summer for a project I have seen > proposed > on the GSOC 2018 idea page regarding the development of image fusion > algorithms. > An already existing fusion algorithm is the High-Pass Filter Addition > technique > implemented in the i.fusion.hpf module [1]. The scope of the project would > be > to expand the capabilities of GRASS to combine data from different sensors. > > The first algorithm I would implement is based on Nicolas Brodu's paper > named > Super-resolving multiresolution images with band-independant geometry of > multispectral pixels [2]. The algorithm presented in this paper would > increase > the resolution of certain low resolution bands by inferring some geometric > characteristics from high resolution bands. As opposed to the already > existing > HPFA fusion method, this one does not require a panchromatic band making it > suitable for satellites that do not produce panchromatic bands. > > I'm sure some other fusion algorithms are needed in GRASS-GIS that are not > yet > implemented. I'm interested in suggestions about such algorithms so that I > can > read about them and incorporate them into my final proposal. > > [1] - https://grass.osgeo.org/grass74/manuals/addons/i.fusion.hpf.html > [2] - https://arxiv.org/abs/1609.07986 > > Cheers, > Tudor > > ___ > grass-dev mailing list > grass-dev@lists.osgeo.org > https://lists.osgeo.org/mailman/listinfo/grass-dev -- Margherita Di Leo ___ grass-dev mailing list grass-dev@lists.osgeo.org https://lists.osgeo.org/mailman/listinfo/grass-dev
Re: [GRASS-dev] [GSOC 2018] - Implement a series of image fusion algorithms in GRASS GIS
Hi Tudor, Great to have you on board ! On 02/03/18 10:35, Tudor-Emil COMAN (25633) wrote: I'm very interested in working this summer for a project I have seen proposed on the GSOC 2018 idea page regarding the development of image fusion algorithms. An already existing fusion algorithm is the High-Pass Filter Addition technique implemented in the i.fusion.hpf module [1]. The scope of the project would be to expand the capabilities of GRASS to combine data from different sensors. As note to other developers: Tudor has already sent me off-list a patch to i.in.spotvgt to respond to bug #3186 [1]. I still have to test it before applying, but if anyone else is interested, contact me. The first algorithm I would implement is based on Nicolas Brodu's paper named Super-resolving multiresolution images with band-independant geometry of multispectral pixels [2]. The algorithm presented in this paper would increase the resolution of certain low resolution bands by inferring some geometric characteristics from high resolution bands. As opposed to the already existing HPFA fusion method, this one does not require a panchromatic band making it suitable for satellites that do not produce panchromatic bands. I'm sure some other fusion algorithms are needed in GRASS-GIS that are not yet implemented. I'm interested in suggestions about such algorithms so that I can read about them and incorporate them into my final proposal. Be sure to also look at the R-FUSE algorithm [2] mentioned on the GSoC ideas page. In general, I think that general algorithms such as those two, that do not linked to sensor specificities would be great. This said, IIRC i.pansharpen currently has limits in terms of applying the classical algorithms to images encoded in more than 8 bits. Improving this (implying changes to the underlying modules) might be another element of the GSoC project. Moritz [1] https://trac.osgeo.org/grass/ticket/3186 [2] http://oatao.univ-toulouse.fr/16629/7/wei_16629.pdf ___ grass-dev mailing list grass-dev@lists.osgeo.org https://lists.osgeo.org/mailman/listinfo/grass-dev
[GRASS-dev] [GSOC 2018] - Implement a series of image fusion algorithms in GRASS GIS
Hi, My name is Tudor-Emil Coman and I study Computer Science at the Faculty of Automatic Control and Computer Science in Bucharest, Romania as a MSc student. I'm currently researching geospatial image processing technologies and I have primarly worked with Sentinel 2 data on numerous frameworks like ESA SNAP, GDAL, GeoDjango, PostGIS and of course GRASS GIS. I'm very interested in working this summer for a project I have seen proposed on the GSOC 2018 idea page regarding the development of image fusion algorithms. An already existing fusion algorithm is the High-Pass Filter Addition technique implemented in the i.fusion.hpf module [1]. The scope of the project would be to expand the capabilities of GRASS to combine data from different sensors. The first algorithm I would implement is based on Nicolas Brodu's paper named Super-resolving multiresolution images with band-independant geometry of multispectral pixels [2]. The algorithm presented in this paper would increase the resolution of certain low resolution bands by inferring some geometric characteristics from high resolution bands. As opposed to the already existing HPFA fusion method, this one does not require a panchromatic band making it suitable for satellites that do not produce panchromatic bands. I'm sure some other fusion algorithms are needed in GRASS-GIS that are not yet implemented. I'm interested in suggestions about such algorithms so that I can read about them and incorporate them into my final proposal. [1] - https://grass.osgeo.org/grass74/manuals/addons/i.fusion.hpf.html [2] - https://arxiv.org/abs/1609.07986 Cheers, Tudor ___ grass-dev mailing list grass-dev@lists.osgeo.org https://lists.osgeo.org/mailman/listinfo/grass-dev
