By Topic

Structure extraction from high resolution SAR data on urban areas

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
$31 $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)
Amberg, V. ; ENSEEIHT, Toulouse, France ; Coulon, M. ; Marthon, P. ; Spigai, M.

This article handles with the problem of man-made structure extraction in high resolution Synthetic Aperture Radar (SAR) data. The ability of new sensors to provide fine resolution imagery of the Earth surface leads to new remote sensing applications. As a matter of fact, the extraction and recognition of smaller and smaller structures in crowded environment is now possible: in dense urban areas the detection of structures from building to car is expected. In this article, a chain of structure extraction in urban areas is proposed: the problem is split into different levels, detecting at each level smaller and smaller structures. In this framework, road extraction is considered and two algorithms based on dynamic programming and Hough transform are proposed and merged.

Published in:

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International  (Volume:3 )

Date of Conference:

20-24 Sept. 2004