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Hello Tamas,<br>
<br>
Nice to meet you, and congratulations on your tool. It has been very
motivating for our work.<br>
<br>
We have a private repository on Github, and I'll immediately invite
you to give access. We do not want to make it public yet, because we
are waiting for a publication, although we hope it will be soon.<br>
<br>
<div class="moz-cite-prefix">El 18-4-23 a las 09:30, Tamas Szekeres
escribió:<br>
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<blockquote type="cite"
cite="mid:CACALY+SGG-9SrMoR7DmQVzawBtx4+GzH2Q3RgFsT01BAfEyy+A@mail.gmail.com">
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<div dir="ltr">Luis,
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<div>I'm interested in testing such algorithm, is that code
publicly available?</div>
<div><br>
</div>
<div>Best regards,</div>
<div><br>
</div>
<div>Tamas</div>
<div><br>
</div>
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<br>
<div class="gmail_quote">
<div dir="ltr" class="gmail_attr">Luis Felipe Romero <<a
href="mailto:felipe@uma.es" moz-do-not-send="true"
class="moz-txt-link-freetext">felipe@uma.es</a>> ezt írta
(időpont: 2023. ápr. 18., K, 7:15):<br>
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0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
<div>
<p>Dear gdal-dev group members,</p>
<p>I hope this email finds you well. I am Luis Felipe
Romero, a researcher from the University of Malaga in
Spain, and I am excited to introduce myself to this
community. My research focuses on algorithms for digital
elevation models (DEM), and in particular, the development
of algorithms for the calculation of the total viewshed.</p>
<p>Recently, my team has developed a highly efficient
algorithm that can calculate the total viewshed for a
model of 2500x2500 points in just 4 seconds on a GPU or
approximately 2 minutes on a 16-core CPU. Our algorithm is
written in C++, and we also have a version that utilizes
CUDA for GPU acceleration.</p>
<p>I had a conversation with Even Roualt about the
possibility of integrating our algorithm into GDAL.
However, he informed me of the incompatibilities between
GDAL and CUDA, but encouraged me to share my intentions
with the group. Therefore, I would like to share our Total
Viewshed approach with the gdal-dev community.</p>
<p>Unlike Tamas Szekeres' Viewshed algorithm, our approach
calculates the viewshed at all model points simultaneously
by leveraging in-memory data alignment. While it may not
be as efficient for calculating the viewshed of a small
set of points, it is incredibly useful for determining the
viewshed of an entire territory, such as for selecting the
location of a cell phone tower or for forest surveillance
path planning. Our algorithm can complete these types of
calculations in a matter of minutes, as opposed to
thousands of hours.</p>
<p>My primary goal in reaching out to this group is to gain
feedback and insights on how GDAL can be used to make our
algorithms publicly accessible and even improved upon by
the community. I believe that GDAL provides the necessary
tools and interfaces to make this possible.</p>
<p>I am currently in the process of familiarizing myself
with the GDAL code structure, and it will take a few days
before I can determine my first steps with it.
Nevertheless, I am excited to contribute to this community
and give visibility to our work.</p>
<p>Thank you all in advance for your time and consideration.</p>
<p>Best regards,</p>
</div>
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