Coregistration method for rotated/shifted FOPEN SAR images

Luca Pallotta, Carmine Clemente, Gaetano Giunta, John J. Soraghan

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
20 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages2454-2457
Number of pages4
ISBN (Electronic)9781665427920
ISBN (Print)9781665427937
DOIs
Publication statusPublished - 28 Sept 2022
Event2022 IEEE International Geoscience and Remote Sensing Symposium - Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia
Duration: 17 Jul 202222 Jul 2022
https://www.igarss2022.org/

Publication series

NameIEEE International Geoscience and Remote Sensing Symposium
PublisherIEEE
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

Conference2022 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS
Country/TerritoryMalaysia
CityKuala Lumpur
Period17/07/2222/07/22
Internet address

Keywords

  • synthetic aperture radar (SAR)
  • coregistration
  • foliage penetrating (FOPEN)
  • rotation and translation

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