NONPARAMETRIC RESAMPLING FOR HIGH-SQUINT SYNTHETIC APERTURE RADAR IMAGING

Linghao Li; Yan Wang; Zegang Ding; Rui Min

doi:10.1049/icp.2021.0814

NONPARAMETRIC RESAMPLING FOR HIGH-SQUINT SYNTHETIC APERTURE RADAR IMAGING

Linghao Li, Yan Wang^*, Zegang Ding, Rui Min

^*Corresponding author for this work

School of Information and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Synthetic aperture radar (SAR) image resampling is a key technology for SAR image geometric correction, interferometric and tomographic registration. In some geometry like the high-squint (HS) case, image spectrum will be distorted, folded and therefore, existing resampling methods will fail due to the resulting serious image degradation. To solve this problem, we propose a general nonparametric image resampling method for SAR. The main contribution is the new non-parametric method of morphologically generating image-domain interpolation kernel, which can be theoretically applied for an arbitrary SAR image focused either on slant range plane or ground plane. The presented approach is evaluated by showing resampled image quality improvement via the computer simulations.

Original language	English
Title of host publication	IET Conference Proceedings
Publisher	Institution of Engineering and Technology
Pages	216-221
Number of pages	6
Volume	2020
Edition	9
ISBN (Electronic)	9781839535406
DOIs	https://doi.org/10.1049/icp.2021.0814
Publication status	Published - 2020
Event	5th IET International Radar Conference, IET IRC 2020 - Virtual, Online Duration: 4 Nov 2020 → 6 Nov 2020

Conference

Conference	5th IET International Radar Conference, IET IRC 2020
City	Virtual, Online
Period	4/11/20 → 6/11/20

Keywords

FOLDED SPECTRUM
HIGH-SQUINT SAR
NON-PARAMETRIC IMAGE RESAMPLING

Access to Document

10.1049/icp.2021.0814

Cite this

@inproceedings{f80fac5788c24285b6fa5f9d11843bde,

title = "NONPARAMETRIC RESAMPLING FOR HIGH-SQUINT SYNTHETIC APERTURE RADAR IMAGING",

abstract = "Synthetic aperture radar (SAR) image resampling is a key technology for SAR image geometric correction, interferometric and tomographic registration. In some geometry like the high-squint (HS) case, image spectrum will be distorted, folded and therefore, existing resampling methods will fail due to the resulting serious image degradation. To solve this problem, we propose a general nonparametric image resampling method for SAR. The main contribution is the new non-parametric method of morphologically generating image-domain interpolation kernel, which can be theoretically applied for an arbitrary SAR image focused either on slant range plane or ground plane. The presented approach is evaluated by showing resampled image quality improvement via the computer simulations.",

keywords = "FOLDED SPECTRUM, HIGH-SQUINT SAR, NON-PARAMETRIC IMAGE RESAMPLING",

author = "Linghao Li and Yan Wang and Zegang Ding and Rui Min",

note = "Publisher Copyright: {\textcopyright} 2020 IET Conference Proceedings. All rights reserved.; 5th IET International Radar Conference, IET IRC 2020 ; Conference date: 04-11-2020 Through 06-11-2020",

year = "2020",

doi = "10.1049/icp.2021.0814",

language = "English",

volume = "2020",

pages = "216--221",

booktitle = "IET Conference Proceedings",

publisher = "Institution of Engineering and Technology",

address = "United Kingdom",

edition = "9",

}

TY - GEN

T1 - NONPARAMETRIC RESAMPLING FOR HIGH-SQUINT SYNTHETIC APERTURE RADAR IMAGING

AU - Li, Linghao

AU - Wang, Yan

AU - Ding, Zegang

AU - Min, Rui

PY - 2020

Y1 - 2020

N2 - Synthetic aperture radar (SAR) image resampling is a key technology for SAR image geometric correction, interferometric and tomographic registration. In some geometry like the high-squint (HS) case, image spectrum will be distorted, folded and therefore, existing resampling methods will fail due to the resulting serious image degradation. To solve this problem, we propose a general nonparametric image resampling method for SAR. The main contribution is the new non-parametric method of morphologically generating image-domain interpolation kernel, which can be theoretically applied for an arbitrary SAR image focused either on slant range plane or ground plane. The presented approach is evaluated by showing resampled image quality improvement via the computer simulations.

AB - Synthetic aperture radar (SAR) image resampling is a key technology for SAR image geometric correction, interferometric and tomographic registration. In some geometry like the high-squint (HS) case, image spectrum will be distorted, folded and therefore, existing resampling methods will fail due to the resulting serious image degradation. To solve this problem, we propose a general nonparametric image resampling method for SAR. The main contribution is the new non-parametric method of morphologically generating image-domain interpolation kernel, which can be theoretically applied for an arbitrary SAR image focused either on slant range plane or ground plane. The presented approach is evaluated by showing resampled image quality improvement via the computer simulations.

KW - FOLDED SPECTRUM

KW - HIGH-SQUINT SAR

KW - NON-PARAMETRIC IMAGE RESAMPLING

UR - http://www.scopus.com/inward/record.url?scp=85174656825&partnerID=8YFLogxK

U2 - 10.1049/icp.2021.0814

DO - 10.1049/icp.2021.0814

M3 - Conference contribution

AN - SCOPUS:85174656825

VL - 2020

SP - 216

EP - 221

BT - IET Conference Proceedings

PB - Institution of Engineering and Technology

T2 - 5th IET International Radar Conference, IET IRC 2020

Y2 - 4 November 2020 through 6 November 2020

ER -

NONPARAMETRIC RESAMPLING FOR HIGH-SQUINT SYNTHETIC APERTURE RADAR IMAGING

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this