Some Results

Here are some of the results as promised.

The basic process is to:
1) classify the image with several classifiers,
2) fuse the results from the different classifiers, and
3) extract centerlines with SORM [1].

It worked quite well for this scene (click to enlarge):

Input Image	Classified Image	Centerlines

And really struggled on this image:

Input Image	Classified Image	Centerlines

This would be an example of the average result:

Input Image	Classified Image	Centerline

At the end of the day, the method managed to achieve around 63.3% accuracy with a standard deviation of 15.3%.

These results will be compiled into a journal article. I’ll provide more specific details as time progress.

References:
[1] P. Doucette, P. Agouris, and A. Stefanidis, “Automated road extraction from high resolution multispectral imagery,” Photogrammetric Engineering & Remote Sensing, vol. 70, pp. 1405–1416, Dec. 2004.

~ by ahauptfleisch on June 14, 2007.