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	<title>Comments on: LiDAR Textbook &amp; Automated Road Network Extraction</title>
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	<description>Laser Scanning Industry News</description>
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		<title>By: anonymous</title>
		<link>http://lidarnews.com/lidar-textbook-automated-road-network-extraction#comment-60</link>
		<dc:creator>anonymous</dc:creator>
		<pubDate>Thu, 19 Mar 2009 02:31:45 +0000</pubDate>
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		<description>Are you able to take snapshots of an area in quick succession?  If you could do this you could track the movement of vehicles and from that you could get speed and possibly find one way roads (given enough snapshots).

I don&#039;t know if you want to grow segments together until they meet, that might introduce too many incorrect connections.  You could try tossing these into a GIS topology engine and use the engine to clean up any near connections (subject to your definition of &quot;near&quot;).</description>
		<content:encoded><![CDATA[<p>Are you able to take snapshots of an area in quick succession?  If you could do this you could track the movement of vehicles and from that you could get speed and possibly find one way roads (given enough snapshots).</p>
<p>I don&#8217;t know if you want to grow segments together until they meet, that might introduce too many incorrect connections.  You could try tossing these into a GIS topology engine and use the engine to clean up any near connections (subject to your definition of &#8220;near&#8221;).</p>
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		<title>By: Gene V. Roe</title>
		<link>http://lidarnews.com/lidar-textbook-automated-road-network-extraction#comment-59</link>
		<dc:creator>Gene V. Roe</dc:creator>
		<pubDate>Wed, 18 Mar 2009 21:20:26 +0000</pubDate>
		<guid isPermaLink="false">http://lidarnews.com/?p=388#comment-59</guid>
		<description>Thanks for the info. I will pass it on.</description>
		<content:encoded><![CDATA[<p>Thanks for the info. I will pass it on.</p>
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		<title>By: Jarlath O'Neil-Dunne</title>
		<link>http://lidarnews.com/lidar-textbook-automated-road-network-extraction#comment-58</link>
		<dc:creator>Jarlath O'Neil-Dunne</dc:creator>
		<pubDate>Wed, 18 Mar 2009 21:11:33 +0000</pubDate>
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		<description>While I have not spent much time on automated road extraction (roads in US urban areas, where I do my work, are well mapped), my experience from automatically mapping power lines showed that a training approach was effective to a point (similar to their results).  The real key was to grow the features into one another, eliminating the gaps.  This is accomplished by finding high probability candidates then expanding those candidates into adjacent features with similar attributes through a looping process.  I never completely cracked that nut, but I am wondering if they are considering an approach that focuses more on building a network than identifying individual segments?  This would help to alleviate some of the issues associated with isolated segments.</description>
		<content:encoded><![CDATA[<p>While I have not spent much time on automated road extraction (roads in US urban areas, where I do my work, are well mapped), my experience from automatically mapping power lines showed that a training approach was effective to a point (similar to their results).  The real key was to grow the features into one another, eliminating the gaps.  This is accomplished by finding high probability candidates then expanding those candidates into adjacent features with similar attributes through a looping process.  I never completely cracked that nut, but I am wondering if they are considering an approach that focuses more on building a network than identifying individual segments?  This would help to alleviate some of the issues associated with isolated segments.</p>
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