Title :
Tractor Wheel Tracks Detection, Delineation, and Characterization in Very High Spatial Resolution SAR Imagery
Author :
Corbane, Christina ; Baghdadi, Nicolas ; Clairotte, Michaël
Author_Institution :
Joint Res. Centre, Eur. Comm., Ispra, Italy
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 m. 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.
Keywords :
agricultural machinery; erosion; geophysical image processing; hydrological techniques; hydrology; object detection; radar imaging; radar resolution; synthetic aperture radar; Radon transform; agricultural landscape; erosion process control; runoff process control; track characterization; track delineation; tractor wheel track detection; very high spatial resolution SAR imagery; wheel track orientation; wheel track width; Agricultural machinery; Optical imaging; Optical sensors; Radar tracking; Soil; Transforms; Wheels; Detection; Synthetic Aperture Radar (SAR); radon transform; tractor wheel tracks;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2011.2158184
