Automatic extraction of roads from aerial images based on scale space and snakes [Elektronisk resurs]

• We propose a new approach for automatic road extraction from aerial imagery with a model and a strategy mainly based on the multi-scale detection of roads in combination with geometry-constrained edge extraction using snakes. A main advantage of our approach is, that it allows for the first time a bridging of shadows and partially occluded areas using the heavily disturbed evidence in the image. Additionally, it has only few parameters to be adjusted. The road network is constructed after extracting crossings with varying shape and topology. We show the feasibility of the approach not only by presenting reasonable results but also by evaluating them quantitatively based on ground truth. 

Ämnesord

Natural Sciences  (hsv)

Computer and Information Sciences  (hsv)

Computer Sciences  (hsv)

Naturvetenskap  (hsv)

Data- och informationsvetenskap  (hsv)

Datavetenskap (datalogi)  (hsv)

Natural Sciences  (hsv)

Computer and Information Sciences  (hsv)

Computer Vision and Robotics (Autonomous Systems)  (hsv)

Naturvetenskap  (hsv)

Data- och informationsvetenskap  (hsv)

Datorseende och robotik (autonoma system)  (hsv)

Indexterm och SAB-rubrik

automatic road extraction

aerial imagery

snakes

multi-scale

evaluation

ridge detection

edge-detection

selection