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.
Pallotta, L., Clemente, C., Giunta, G., Soraghan, J.J. (2022). Coregistration Method for Rotated/Shifted FOPEN SAR Images. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 2454-2457). Institute of Electrical and Electronics Engineers Inc. [10.1109/IGARSS46834.2022.9883563].