This letter proposes a coregistration algorithm to compensate for the possible inaccuracy of trajectory sensor during the synthetic aperture radar (SAR) image acquisition process. Such a misalignment can be modeled as a pure displacement in range and azimuth directions and a rotation effect due to different angles of sight. The approach is formalized as a constrained least squares (CLS) optimization problem enforcing a constraint of the absence of a zooming effect between the two SAR images. Moreover, the system equations can optionally be weighted according to local properties between the extracted patches within the quoted couple. Interestingly, the solution can be obtained in closed form, therefore, with a low computational cost. The results of the tests conducted on the 9.6-GHz Gotcha SAR data demonstrate the capability of the strategy to properly register the imagery.
Pallotta, L., Giunta, G., & Clemente, C. (2021). SAR Image Registration in the Presence of Rotation and Translation: A Constrained Least Squares Approach. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 18(9), 1595-1599 [10.1109/LGRS.2020.3005198].
|Titolo:||SAR Image Registration in the Presence of Rotation and Translation: A Constrained Least Squares Approach|
PALLOTTA, LUCA (Corresponding)
|Data di pubblicazione:||2021|
|Citazione:||Pallotta, L., Giunta, G., & Clemente, C. (2021). SAR Image Registration in the Presence of Rotation and Translation: A Constrained Least Squares Approach. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 18(9), 1595-1599 [10.1109/LGRS.2020.3005198].|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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