Scanaerial is a python-based plugin for JOSM, that scans aerial imagery to detect areas (so far it's limited to detect lakes)
Scanaerial is an amazing advantage for armchair mapping. At the moment the detection leaves much to be desired. That was a reason for me to make some thoughts about aerial image detection.
I started collecting some material and information, if you're interested in algorithms and segmentation in general, have a look at:
https://github.com/jonasstein/scanaerial/wiki/Possible-image-processing-to-capture-objects-%28segmentation%29-on-aerial-images (you're invited to add some more information, examples or sources if you want)
But because I'm busy in these days and my time is limited, I started this blog-entry to encourage some more people to participate in the Scanaerial-project.
Help Scanaerial to get more efficient. We are in need of theoretician that can develop a good algorithm or enhance an existing algorithm and coders that can implement algorithms or add ideas to the python-code (or in a further state create a full Java-based plugin). Even if you don't want to work actively on that project, you could help by improving documentation/wiki or give new impetus with feedback & criticism.
Thanks for your attention!