Coregistration method for rotated/shifted FOPEN SAR images

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

doi:10.1109/igarss46834.2022.9883563

Coregistration method for rotated/shifted FOPEN SAR images

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

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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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.

Original language	English
Title of host publication	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	2454-2457
Number of pages	4
ISBN (Electronic)	9781665427920
ISBN (Print)	9781665427937
DOIs	https://doi.org/10.1109/igarss46834.2022.9883563
Publication status	Published - 28 Sep 2022
Event	2022 IEEE International Geoscience and Remote Sensing Symposium - Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia Duration: 17 Jul 2022 → 22 Jul 2022 https://www.igarss2022.org/

Publication series

Name	IEEE International Geoscience and Remote Sensing Symposium
Publisher	IEEE
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	2022 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated title	IGARSS
Country/Territory	Malaysia
City	Kuala Lumpur
Period	17/07/22 → 22/07/22
Internet address	https://www.igarss2022.org/

Keywords

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

Access to Document

10.1109/igarss46834.2022.9883563

Pallotta-etal-IGARSS-2022-Coregistration-method-for-rotated-shifted-FOPEN-SAR-imagesAccepted author manuscript, 801 KBLicence: Strath_1

Cite this

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title = "Coregistration method for rotated/shifted FOPEN SAR images",

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.",

keywords = "synthetic aperture radar (SAR), coregistration, foliage penetrating (FOPEN), rotation and translation",

author = "Luca Pallotta and Carmine Clemente and Gaetano Giunta and Soraghan, {John J.}",

note = "{\textcopyright} 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS ; Conference date: 17-07-2022 Through 22-07-2022",

year = "2022",

month = sep,

day = "28",

doi = "10.1109/igarss46834.2022.9883563",

language = "English",

isbn = "9781665427937",

series = "IEEE International Geoscience and Remote Sensing Symposium",

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pages = "2454--2457",

booktitle = "IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium",

url = "https://www.igarss2022.org/",

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Pallotta, L, Clemente, C, Giunta, G & Soraghan, JJ 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, Piscataway, NJ, pp. 2454-2457, 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17/07/22. https://doi.org/10.1109/igarss46834.2022.9883563

Coregistration method for rotated/shifted FOPEN SAR images. / Pallotta, Luca; Clemente, Carmine; Giunta, Gaetano et al.

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. Piscataway, NJ : IEEE, 2022. p. 2454-2457 (IEEE International Geoscience and Remote Sensing Symposium).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Coregistration method for rotated/shifted FOPEN SAR images

AU - Pallotta, Luca

AU - Clemente, Carmine

AU - Giunta, Gaetano

AU - Soraghan, John J.

N1 - © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2022/9/28

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N2 - 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.

AB - 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.

KW - synthetic aperture radar (SAR)

KW - coregistration

KW - foliage penetrating (FOPEN)

KW - rotation and translation

U2 - 10.1109/igarss46834.2022.9883563

DO - 10.1109/igarss46834.2022.9883563

M3 - Conference contribution book

SN - 9781665427937

T3 - IEEE International Geoscience and Remote Sensing Symposium

SP - 2454

EP - 2457

BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

PB - IEEE

CY - Piscataway, NJ

T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Y2 - 17 July 2022 through 22 July 2022

ER -

Coregistration method for rotated/shifted FOPEN SAR images

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Keywords

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