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    <p>Hi Elvin,</p>
    <p>would be nice then to read here one day about your findings.</p>
    <p>Cheers,</p>
    <p>Bernd<br>
    </p>
    <div class="moz-cite-prefix">Am 20.04.19 um 18:02 schrieb Elvin
      Roldan:<br>
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      cite="mid:C6E3C386-606D-4D36-8611-00DE3B3AE958@gmail.com">
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      Hell again:
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      <div>Thanks for the help I followed youre recommendations and use
        base layer for openstreet map and edited for my needs. None the
        less I will keep trying to develop this in spatial analysis due
        that Im working with drone collected data and a lot of areas
        (whole municipalities) to develop infrastructure maps. </div>
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      <div>I will keep posted on progress. Thanks for the help.</div>
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          <div style="direction: inherit;">Elvin Roldán</div>
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          On Apr 18, 2019, at 12:04 PM, Kirk Schmidt <<a
            href="mailto:kirk@nortekresources.com"
            moz-do-not-send="true">kirk@nortekresources.com</a>>
          wrote:<br>
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            <p>Hallo Elvin:</p>
            <p>This would be a bit tricky as roads are not created
              equal.  A paved road and associate paint is very different
              from a cobblestone or gravel road.  Add shadows from
              trees, buildings and rock cuts and the complexity
              increases.   If you used a supervised classification you
              would end up with clusters of pixel polygons or pixel
              points that would not be very consistent.  The level of
              work required to edit and simplify these  would be very
              time consuming.  It is for these reasons that original
              line features such as roads where digitized as simple
              vectors.  As bernd suggest below, existing vector data is
              available for most areas and it is simply a matter of
              locating and accessing these sources.  <br>
            </p>
            <p>Kirk  <br>
            </p>
            <div class="moz-cite-prefix">On 4/18/2019 12:10 PM, Bernd
              Vogelgesang wrote:<br>
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              cite="mid:93ed973c-3136-28bf-aa4f-0229284e3c3d@gmx.de">
              <p>Hi Elvin,</p>
              <p>I do not know of any trick how to extract a road
                network from images besides a trained image
                classification model. But may the question be allowed
                why you can't just use the OpenStreetMap data directly?</p>
              <p>Cheers,<br>
                Bernd<br>
              </p>
              <div class="moz-cite-prefix">Am 18.04.19 um 15:12 schrieb
                Elvin Roldan:<br>
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              <blockquote type="cite"
                cite="mid:000e01d4f5e8$563cccf0$02b666d0$@gmail.com">
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                  <p class="MsoNormal">Hello:</p>
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                    <p class="MsoNormal"> </p>
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                    <p class="MsoNormal">I’m writing because I’ve been a
                      long time user QGIS and really appreciate all the
                      work that has been put to it and all the
                      initiatives to continue to evolve and maintain it
                      as an important open source GIS system.</p>
                    <p class="MsoNormal">My question is aim does anybody
                      know how to extract a road network using spatial
                      analysis tools within QGIS. I want to extract all
                      roads from aerial images to convert to vectors
                      (polylines or polygons) to do various analysis
                      involving the existing road network.</p>
                    <p class="MsoNormal">If anybody can point me in the
                      right direction  I would appreciated. </p>
                    <p class="MsoNormal">Thanks.</p>
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                        <p class="MsoNormal">Elvin Roldán</p>
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            <pre class="moz-signature" cols="72">--
Kirk Schmidt, MScF, BScF, RPF
General Manager
Nortek Resource Solutions Inc.
RR # 1
Thorburn, NS
B0K 1W0
Tel (902) 922.3607
Email: <a class="moz-txt-link-abbreviated" href="mailto:kirk@nortekresources.com" moz-do-not-send="true">kirk@nortekresources.com</a>
Web: <a class="moz-txt-link-abbreviated" href="http://www.nortekresources.com" moz-do-not-send="true">www.nortekresources.com</a></pre>
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