Please use this identifier to cite or link to this item:
|Title:||Tractor wheel tracks detection, delineation and characterization on Very High Spatial Resolution SAR imagery|
|Authors:||CORBAN CHRISTINA; BAGHDADI Nicolas; CLAIROTTE MICHAEL|
|Citation:||IEEE GEOSCIENCE AND REMOTE SENSING LETTERS vol. 8 no. 6 p. 1130-1134|
|Publisher:||IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC|
|Type:||Articles in periodicals and books|
|Abstract:||Compacted tractor wheel tracks have been recognized as key factors controlling runoff and erosion processes in agricultural landscapes. In this context, the availability of an automatic tool for wheel tracks detection and characterization would be very useful. In this letter, an original algorithm based on Radon Transform is proposed for automatic wheel tracks detection on Synthetic aperture radar images with a spatial resolution of 1 meter. Compared to on-screen measurements, wheel tracks orientations and widths were accurately estimated for the images acquired with shallow incidence angles whereas poorer results were observed for sharp incidence angles.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.