An Adaptive Multilook Approach of Multitemporal Interferometry Based on Complex Covariance Matrix for SAR Small Datasets
Summary :
Adaptive multilooking is a critical processing step in multi-temporal interferometric synthetic aperture radar (InSAR) measurement, especially in small temporal baseline subsets. Various amplitude-based adaptive multilook approaches have been proposed for the improvement of interferometric processing. However, the phase signal, which is fundamental in interferometric systems, is typically ignored in these methods. To fully exploit the information in complex SAR images, a nonlocal adaptive multilooking is proposed based on complex covariance matrix in this work. The complex signal is here exploited for the similiarity measurement between two pixels. Given the complexity of objects in SAR images, structure feature detection is introduced to adaptively estimate covariance matrix. The effectiveness and reliability of the proposed approach are demonstrated with experiments both on simulated and real data.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E105-A No.11 pp.1517-1521
- Publication Date
- 2022/11/01
- Publicized
- 2022/05/13
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2021EAL2092
- Type of Manuscript
- LETTER
- Category
- Image
Authors
Jingke ZHANG
the State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information Systems
Huina SONG
Hangzhou Dianzi University
Mengyuan WANG
Hangzhou Dianzi University
Zhaoyang QIU
Hangzhou Dianzi University
Xuyang TENG
Hangzhou Dianzi University
Qi ZHANG
China Electronics Technology Group Corporation
Keyword
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Jingke ZHANG, Huina SONG, Mengyuan WANG, Zhaoyang QIU, Xuyang TENG, Qi ZHANG, "An Adaptive Multilook Approach of Multitemporal Interferometry Based on Complex Covariance Matrix for SAR Small Datasets" in IEICE TRANSACTIONS on Fundamentals,
vol. E105-A, no. 11, pp. 1517-1521, November 2022, doi: 10.1587/transfun.2021EAL2092.
Abstract: Adaptive multilooking is a critical processing step in multi-temporal interferometric synthetic aperture radar (InSAR) measurement, especially in small temporal baseline subsets. Various amplitude-based adaptive multilook approaches have been proposed for the improvement of interferometric processing. However, the phase signal, which is fundamental in interferometric systems, is typically ignored in these methods. To fully exploit the information in complex SAR images, a nonlocal adaptive multilooking is proposed based on complex covariance matrix in this work. The complex signal is here exploited for the similiarity measurement between two pixels. Given the complexity of objects in SAR images, structure feature detection is introduced to adaptively estimate covariance matrix. The effectiveness and reliability of the proposed approach are demonstrated with experiments both on simulated and real data.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAL2092/_p
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@ARTICLE{e105-a_11_1517,
author={Jingke ZHANG, Huina SONG, Mengyuan WANG, Zhaoyang QIU, Xuyang TENG, Qi ZHANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Adaptive Multilook Approach of Multitemporal Interferometry Based on Complex Covariance Matrix for SAR Small Datasets},
year={2022},
volume={E105-A},
number={11},
pages={1517-1521},
abstract={Adaptive multilooking is a critical processing step in multi-temporal interferometric synthetic aperture radar (InSAR) measurement, especially in small temporal baseline subsets. Various amplitude-based adaptive multilook approaches have been proposed for the improvement of interferometric processing. However, the phase signal, which is fundamental in interferometric systems, is typically ignored in these methods. To fully exploit the information in complex SAR images, a nonlocal adaptive multilooking is proposed based on complex covariance matrix in this work. The complex signal is here exploited for the similiarity measurement between two pixels. Given the complexity of objects in SAR images, structure feature detection is introduced to adaptively estimate covariance matrix. The effectiveness and reliability of the proposed approach are demonstrated with experiments both on simulated and real data.},
keywords={},
doi={10.1587/transfun.2021EAL2092},
ISSN={1745-1337},
month={November},}
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TY - JOUR
TI - An Adaptive Multilook Approach of Multitemporal Interferometry Based on Complex Covariance Matrix for SAR Small Datasets
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1517
EP - 1521
AU - Jingke ZHANG
AU - Huina SONG
AU - Mengyuan WANG
AU - Zhaoyang QIU
AU - Xuyang TENG
AU - Qi ZHANG
PY - 2022
DO - 10.1587/transfun.2021EAL2092
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2022
AB - Adaptive multilooking is a critical processing step in multi-temporal interferometric synthetic aperture radar (InSAR) measurement, especially in small temporal baseline subsets. Various amplitude-based adaptive multilook approaches have been proposed for the improvement of interferometric processing. However, the phase signal, which is fundamental in interferometric systems, is typically ignored in these methods. To fully exploit the information in complex SAR images, a nonlocal adaptive multilooking is proposed based on complex covariance matrix in this work. The complex signal is here exploited for the similiarity measurement between two pixels. Given the complexity of objects in SAR images, structure feature detection is introduced to adaptively estimate covariance matrix. The effectiveness and reliability of the proposed approach are demonstrated with experiments both on simulated and real data.
ER -
English
