Road extraction from high-resolution remote sensing images has always been a significant but very difficult task. In this
paper, a new approach integrating spectral and shape features into the object extraction process is proposed. The method
mainly consists of three modules: spectral classification, morphological segmentation and shape feature recognition. The
principal work is to refine the road network using three shape indices (distribution density, eccentricity and precision),
which can remove the spectrally similar non-road objects. Experimental results demonstrate that this method is efficient
to extract the central road network.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.