Coregistration method for rotated/shifted FOPEN SAR images

Pallotta, Luca and Clemente, Carmine and Giunta, Gaetano and Soraghan, John J.; (2022) Coregistration method for rotated/shifted FOPEN SAR images. In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium . IEEE, MYS, pp. 2454-2457. ISBN 9781665427920 (https://doi.org/10.1109/igarss46834.2022.9883563)

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Abstract

This paper tests a SAR image coregistration method, developed to account for a joint rotation and range/azimuth shift effect in absence of zooming, on foliage penetrating (FOPEN) data. In particular, the method is referred as a constrained Least Squares (CLS) optimization method and, in its basic form, it sharply extracts all patches composing the entire image. Differently, in next developments it applies a detection stage to identify extended areas in the images where patches are then selected. Moreover, it also performs a refinement of the equations in the CLS problem through an iterative cancellation procedure. The performance of this enhanced version of the CLS are made on the challenging Carabas-II VHF-band FOPEN SAR data to demonstrate its effectiveness also in high-resolution SAR images.

ORCID iDs

Pallotta, Luca, Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X, Giunta, Gaetano and Soraghan, John J. ORCID logoORCID: https://orcid.org/0000-0003-4418-7391;