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<div>Hi,</div>
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<div>My name is Tudor-Emil Coman and I study Computer Science at the Faculty of</div>
<div>Automatic Control and Computer Science in Bucharest, Romania as a MSc student.</div>
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<div>I'm currently researching geospatial image processing technologies and I have</div>
<div>primarly worked with Sentinel 2 data on numerous frameworks like ESA SNAP,</div>
<div>GDAL, GeoDjango, PostGIS and of course GRASS GIS. </div>
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<div>I'm very interested in working this summer for a project I have seen proposed</div>
<div>on the GSOC 2018 idea page regarding the development of image fusion algorithms.</div>
<div>An already existing fusion algorithm is the High-Pass Filter Addition technique</div>
<div>implemented in the i.fusion.hpf module [1]. The scope of the project would be</div>
<div>to expand the capabilities of GRASS to combine data from different sensors.</div>
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<div>The first algorithm I would implement is based on Nicolas Brodu's paper named</div>
<div>Super-resolving multiresolution images with band-independant geometry of</div>
<div>multispectral pixels [2]. The algorithm presented in this paper would increase</div>
<div>the resolution of certain low resolution bands by inferring some geometric </div>
<div>characteristics from high resolution bands. As opposed to the already existing</div>
<div>HPFA fusion method, this one does not require a panchromatic band making it</div>
<div>suitable for satellites that do not produce panchromatic bands.</div>
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<div>I'm sure some other fusion algorithms are needed in GRASS-GIS that are not yet</div>
<div>implemented. I'm interested in suggestions about such algorithms so that I can</div>
<div>read about them and incorporate them into my final proposal.</div>
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<div>[1] - https://grass.osgeo.org/grass74/manuals/addons/i.fusion.hpf.html</div>
<div>[2] - https://arxiv.org/abs/1609.07986</div>
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<div>Cheers,</div>
<div>Tudor</div>
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