Road vectors update using SAR imagery: a snake-based method

The paper presents an approach for roads detection based on synthetic aperture radar (SAR) images and road databases. The vectors provided by the database are refined using active contours (snakes). In this framework, we firstly develop a restoration filter based on the frost filter achieving an acc...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2003-08, Vol.41 (8), p.1785-1803
Main Authors: Bentabet, L., Jodouin, S., Ziou, D., Vaillancourt, J.
Format: Article
Language:English
Subjects:
Active contours
Applied geophysics
Earth sciences
Earth, ocean, space
Exact sciences and technology
Filters
Finite element methods
Image databases
Image restoration
Internal geophysics
Mathematical analysis
Radar detection
Restoration
Roads
Snakes
Speckle
Synthetic aperture radar
Testing
Vectors (mathematics)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The paper presents an approach for roads detection based on synthetic aperture radar (SAR) images and road databases. The vectors provided by the database are refined using active contours (snakes). In this framework, we firstly develop a restoration filter based on the frost filter achieving an acceptable compromise between speckle elimination and lines preserving. This is followed by a line plausibility calculation step which is used to deform the snake from its initial location toward the final solution. The snake is reformulated using finite elements method. The setting of the snake parameters is not an obvious problem especially when they are tuned by trial-and-error process. We propose a new automatic computational rule for the snake parameters. Our approach is validated by a series of tests on synthetic and SAR images.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2003.813850