A Multiwindow Approach for Radargrammetric Improvements

Stéphane Meric (1) , Franck Fayard (1) , Eric Pottier (1)

1 IETR - Institut d'Électronique et des Technologies du numéRique

The central issue of this paper concerns improvements for radargrammetric synthetic aperture radar image processing for high-relief reconstruction, and we focus on the matching step, which is one of the most important points of the radargrammetric processing. Thus, we propose original methods using different correlation windows. On the one hand, we take the advantages of a multiwindow approach to combine relevant information by multiplying the correlation surfaces obtained for each correlation window size during the matching operation. On the other hand, the second improvement is based on the expansion of windows on foreshortened areas, particularly because of the side-looking radar view. These methods allow us to achieve reliable image matching and to improve the accuracy of the DEM.

Mots clés: Digital elevation model (DEM); matching correlation; radar; radargrammetry; stereoscopy; synthetic aperture radar (SAR)

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Stéphane Meric, Franck Fayard, Eric Pottier. A Multiwindow Approach for Radargrammetric Improvements. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49 (10), pp.3803-3810. ⟨10.1109/TGRS.2011.2144606⟩. ⟨hal-00633560⟩