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-https://www.mapsmadeeasy.com/point_estimator you can use this to make a flight plan set variables to what you want make sure to pick inspire/phantom 3 as camera near the bottom, you can export this plan as kml for apm. or if you are more adept you can use the gis software of your choice to create a kml grid flight path for upload to litchi in the following ...


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Pix4D did a project called Chillon Project where they did exactly what you are looking to do. Here is a link to their project on YouTube. Additionally they didn’t just rely on just the UAV to capture the imagery, but utilised terrestrial photos captured using hand held devices such as Go Pros and Smart Phones. The results are really cool!


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I think a way to do this is VisualSFM to do the matching of the photos (the stronger the GPU the better) and creating a dense point cloud and MeshLab to create a textured triangulated model from the point cloud. VisualSFM: http://ccwu.me/vsfm/ http://ptak.felk.cvut.cz/sfmservice/websfm.pl?menu=cmpmvs (cp. especially the 'Technology' site and the paper ...


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I've done this before with success using the Photosynth Toolkit (http://www.visual-experiments.com/demos/photosynthtoolkit/), except instead of a drone I was hanging my head out of a small plane taking pictures of the downtown area of a small town. You could also check out Visual SFM (http://ccwu.me/vsfm/); I haven't used it but it seems to be another tool ...


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If you're using photogrammetric methods for producing the point cloud, targets won't necessarily increase the accuracy of the point cloud. What they are useful for is taking measurements from your point cloud or scaling/georeferencing your point cloud data to be representative of real-world measurements. If you have access to a Total Data Station or other ...



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