Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR Images

Autofocus is an essential technique for airborne synthetic aperture radar (SAR) imaging to correct phase errors mainly due to unexpected motion error. There are several well-known conventional autofocus methods such as phase gradient autofocus (PGA) and minimum entropy (ME). Although these methods a...

Full description

Bibliographic Details
Main Authors: Haemin Lee, Chang-Sik Jung, Ki-Wan Kim
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/7/2370
_version_ 1827696475827601408
author Haemin Lee
Chang-Sik Jung
Ki-Wan Kim
author_facet Haemin Lee
Chang-Sik Jung
Ki-Wan Kim
author_sort Haemin Lee
collection DOAJ
description Autofocus is an essential technique for airborne synthetic aperture radar (SAR) imaging to correct phase errors mainly due to unexpected motion error. There are several well-known conventional autofocus methods such as phase gradient autofocus (PGA) and minimum entropy (ME). Although these methods are still widely used for various SAR applications, each method has drawbacks such as limited bandwidth of estimation, low convergence rate, huge computation burden, etc. In this paper, feature preserving autofocus (FPA) algorithm is newly proposed. The algorithm is based on the minimization of the cost function containing a regularization term. The algorithm is designed for postprocessing purpose, which is different from the existing regularization-based algorithms such as sparsity-driven autofocus (SDA). This difference makes the proposed method far more straightforward and efficient than those existing algorithms. The experimental results show that the proposed algorithm achieves better performance, convergence, and robustness than the existing postprocessing autofocus algorithms.
first_indexed 2024-03-10T12:48:10Z
format Article
id doaj.art-2cbf99227c004d9c87bd2601f2711975
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-03-10T12:48:10Z
publishDate 2021-03-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-2cbf99227c004d9c87bd2601f27119752023-11-21T13:16:45ZengMDPI AGSensors1424-82202021-03-01217237010.3390/s21072370Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR ImagesHaemin Lee0Chang-Sik Jung1Ki-Wan Kim2Agency for Defense Development, Yuseong P.O. Box 35, Daejeon 34186, KoreaAgency for Defense Development, Yuseong P.O. Box 35, Daejeon 34186, KoreaAgency for Defense Development, Yuseong P.O. Box 35, Daejeon 34186, KoreaAutofocus is an essential technique for airborne synthetic aperture radar (SAR) imaging to correct phase errors mainly due to unexpected motion error. There are several well-known conventional autofocus methods such as phase gradient autofocus (PGA) and minimum entropy (ME). Although these methods are still widely used for various SAR applications, each method has drawbacks such as limited bandwidth of estimation, low convergence rate, huge computation burden, etc. In this paper, feature preserving autofocus (FPA) algorithm is newly proposed. The algorithm is based on the minimization of the cost function containing a regularization term. The algorithm is designed for postprocessing purpose, which is different from the existing regularization-based algorithms such as sparsity-driven autofocus (SDA). This difference makes the proposed method far more straightforward and efficient than those existing algorithms. The experimental results show that the proposed algorithm achieves better performance, convergence, and robustness than the existing postprocessing autofocus algorithms.https://www.mdpi.com/1424-8220/21/7/2370autofocusfeature preserving regularizationphase errorssynthetic aperture radar (SAR)
spellingShingle Haemin Lee
Chang-Sik Jung
Ki-Wan Kim
Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR Images
Sensors
autofocus
feature preserving regularization
phase errors
synthetic aperture radar (SAR)
title Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR Images
title_full Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR Images
title_fullStr Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR Images
title_full_unstemmed Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR Images
title_short Feature Preserving Autofocus Algorithm for Phase Error Correction of SAR Images
title_sort feature preserving autofocus algorithm for phase error correction of sar images
topic autofocus
feature preserving regularization
phase errors
synthetic aperture radar (SAR)
url https://www.mdpi.com/1424-8220/21/7/2370
work_keys_str_mv AT haeminlee featurepreservingautofocusalgorithmforphaseerrorcorrectionofsarimages
AT changsikjung featurepreservingautofocusalgorithmforphaseerrorcorrectionofsarimages
AT kiwankim featurepreservingautofocusalgorithmforphaseerrorcorrectionofsarimages