
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd">

<html><body>

<h1 style="color: rgb(48, 48, 48); font-family:; font-size: 2rem; line-height: 1.25; margin-top: 0px">N°1077: design, sar, grids, raster</h1>

<p style="color: rgb(154, 154, 154); font-family:">

<time class="post-date"></time>

by Raf

</p>

<ul style="color: rgb(81, 81, 81); font-family:; margin-top: 0px">

<li>

Detailed explanation around redesign concepts of the new Berlin subway map <br>

<a href="https://berlintransitmap.de/" style="color: rgb(38, 139, 210); font-size: 1em">https://berlintransitmap.de/</a>

</li>


<li>

Deep learning and radar applications, a short review of advances and challenges for Earth Observation <br>

<a href="https://towardsdatascience.com/deep-learning-and-sar-applications-81ba1a319def" style="color: rgb(38, 139, 210); font-size: 1em">https://towardsdatascience.com/deep-learning-and-sar-applications-81ba1a319def</a>

</li>


<li>

Mapping the electric grid using deep learning and small human review, https://developmentseed.org/ml-grid-docs/ <br>

<a href="https://docs.google.com/presentation/d/1UFQeHyPOAC-uRb7XrrIl6-DCwvLR1c2I-BpOrZnEWLI/edit#slide=id.p" style="color: rgb(38, 139, 210); font-size: 1em">https://docs.google.com/presentation/d/1UFQeHyPOAC-uRb7XrrIl6-DCwvLR1c2I-BpOrZnEWLI/edit#slide=id.p</a>

</li>


<li>

First release candidate for the Open Source deep learning imagery software Raster Vision 0.9, now also consuming vector tiles <br>

<a href="https://www.azavea.com/blog/2019/04/15/raster-vision-0-9-release-candidate/" style="color: rgb(38, 139, 210); font-size: 1em">https://www.azavea.com/blog/2019/04/15/raster-vision-0-9-release-candidate/</a>

</li>


</ul>

</body></html>