Extracting straight road structure in urban environments using IKONOS satellite imagery

Donna S. Haverkamp

doi:10.1117/1.1496785

1 September 2002 Extracting straight road structure in urban environments using IKONOS satellite imagery

Donna S. Haverkamp

Optical Engineering, Vol. 41, Issue 9, (September 2002). https://doi.org/10.1117/1.1496785

We discuss a fully automatic technique for extracting roads in urban environments. The method has its bases in a vegetation mask derived from multispectral IKONOS data and in texture derived from panchromatic IKONOS data. These two techniques together are used to distinguish road pixels. We then move from individual pixels to an object- based representation that allows reasoning on a higher level. Recognition of individual segments and intersections and the relationships among them are used to determine underlying road structure and to then logically hypothesize the existence of additional road network components. We show results on an image of San Diego, California. The object-based processing component may be adapted to utilize other basis techniques as well, and could be used to build a road network in any scene having a straight-line structured topology.

©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Donna S. Haverkamp "Extracting straight road structure in urban environments using IKONOS satellite imagery," Optical Engineering 41(9), (1 September 2002). https://doi.org/10.1117/1.1496785

Published: 1 September 2002

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