Tractor Wheel Tracks Detection, Delineation, and Characterization in Very High Spatial Resolution SAR Imagery
| Autor: | M. Clairotte, Christina Corbane, Nicolas Baghdadi |
|---|---|
| Přispěvatelé: | European Commission - Joint Research Centre [Ispra] (JRC), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF) |
| Rok vydání: | 2011 |
| Předmět: |
Synthetic aperture radar
Tractor RADAR (SAR) business.product_category 010504 meteorology & atmospheric sciences Context (language use) 02 engineering and technology RADON TRANSFORM 01 natural sciences DETECTION Radar imaging 0202 electrical engineering electronic engineering information engineering Computer vision Electrical and Electronic Engineering Image resolution 0105 earth and related environmental sciences Remote sensing Radar tracker Radon transform business.industry 020206 networking & telecommunications Geotechnical Engineering and Engineering Geology Object detection TRACTOR WHEEL TRACKS SYNTHETIC APERTURE [SDE]Environmental Sciences Artificial intelligence business Geology |
| Zdroj: | IEEE Geoscience and Remote Sensing Letters IEEE Geoscience and Remote Sensing Letters, IEEE-Institute of Electrical and Electronics Engineers, 2011, 8 (6), pp.1130-1134. ⟨10.1109/LGRS.2011.2158184⟩ |
| ISSN: | 1558-0571 1545-598X |
| DOI: | 10.1109/lgrs.2011.2158184 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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