By Topic

Application of a Fast Linear Feature Detector to Road Extraction From Remotely Sensed Imagery

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Yuanzheng Shao ; CSISS of George Mason University, Fairfax, VA, USA ; Bingxuan Guo ; Xiangyun Hu ; Liping Di

This paper presents a fast and effective algorithm for detecting ridge- or ribbon-like linear features from remote sensing imagery. To judge if a pixel is at the center of a linear feature, the first step is to find several biggest pixels by their grey values within orthogonal directional windows, and store them into an evaluation window. A simple evaluation method is then applied to make the yes or no decision on whether the pixel is a linear feature point. Aerial images were used to test the algorithm's ability to extract roads. This algorithm was compared with the Multiple Directional Non Maximum Suppression (MDNMS) algorithm. The experimental results indicate that with the proposed algorithm the processing of road details could improve and the processing time decrease.

Published in:

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  (Volume:4 ,  Issue: 3 )