[OSGeo-Discuss] looking for OS softwre to stitch aerial photos automatically

[Stefan Steiniger]

I am not sure what Opticks (opticks.org) can do by now really since I 
checked it last time... but you may have a look.

If you find something can you report back? so I can update my FOS GIS 
projects paper/map I am writing on.

The not complete image of the software map 2009 is here:
https://sourceforge.net/userapps/mediawiki/mentaer/index.php?title=FOS_GIS_Software_Map

stefan

Alex Mandel wrote:
> I've been using Hugin in an attempt to do this process. While the
> control point generation works out ok (note there are some licensing
> restrictions due to patents in all the current algorithms) the stitching
> never comes out quite right because of hugin's insistence on warping to
> a projection that assumes a camera mounted on a stationary tripod.
> 
> In discussions with some of the OSSIM team, they are interested in this
> area but the current app does not do this. Other options that have come
> up are OpenCv and Nasa Image Workbench but both of these are programming
> libraries and would require c/c++ coding.
> 
> It would be great to collaborate on getting this implemented in an OSGeo
> project. I know several researchers with a need for a tool that does this.
> 
> Thanks,
> Alex
> 
> 
> Tim Waters wrote:
>> I'm aware of some semi-automatic stitching of areal imagery using
>> Hugin http://hugin.sourceforge.net/
>>
>> Jeff has used it with video frames from a camera attached to a  kite:
>> http://unterbahn.com/2010/01/kite-video-generation-of-aerial-imagery/
>>
>> And I'm very interested in using Hugin and other Panorama stiching
>> tools to help make cheap aerial imagery as one of the stages within
>> MapWarper.
>>
>> Cheers,
>>
>> Tim
>> http://thinkwhere.wordpress.com
>>
>>
>>
>> 2010/1/22 Marco Lechner - FOSSGIS e.V. <marco.lechner at fossgis.de>:
>>> Hi,
>>>
>>> does anybody know a open source tool to stitch a bunch of aerial
>>> photographs automatically by detecting similar pixelareas?
>>> I know that GRASS is pretty good in processing images, but I there's no
>>> funtion to patch a bunch of aerial photos by detecting similarities in
>>> overlapping areas, I guess.
>>> Hopefully, I'm wrong.
>>>
>>> Marco
>>>
>>> --
> 
> 
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