Extracting roads and curvilinear bands with weak and broken boundaries

Shaoguang Zhou; Jinhui Li

doi:10.1117/12.812103

29 December 2008 Extracting roads and curvilinear bands with weak and broken boundaries

Shaoguang Zhou, Jinhui Li

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72850M (2008) https://doi.org/10.1117/12.812103
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

In so far as geometric shape is concerned a curvilinear band is very similar to a road segment. Roads may be regarded as a particular type of curvilinear bands. Many methods have been developed for extracting such targets, some of which are based on edge information. It is very difficult to extract roads and curvilinear bands with no clear and continuous boundaries using existing algorithms. To mitigate this problem a new strategy is presented in this paper. Edge lines are detected by means of an improved Burns' method and Dynamic Programming. Target segments are then formed by matching these edge lines. Connecting the obtained segments produces the final results. Experiments prove the efficiency of the proposed method while being applied to extract complicated roads and curvilinear bands in different kinds of images.

Citation Download Citation

Shaoguang Zhou and Jinhui Li "Extracting roads and curvilinear bands with weak and broken boundaries", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72850M (29 December 2008); https://doi.org/10.1117/12.812103

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

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.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available