The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
적응형 멀티룩킹은 다중 시간 간섭계 합성 개구 레이더(InSAR) 측정, 특히 작은 시간 기준 하위 집합에서 중요한 처리 단계입니다. 간섭계 처리의 개선을 위해 다양한 진폭 기반 적응형 멀티룩 접근 방식이 제안되었습니다. 그러나 간섭계 시스템의 기본인 위상 신호는 일반적으로 이러한 방법에서 무시됩니다. 복잡한 SAR 이미지의 정보를 완전히 활용하기 위해 이 연구에서는 복잡한 공분산 행렬을 기반으로 하는 비국소 적응형 다중 감시가 제안되었습니다. 여기서는 두 픽셀 간의 유사성 측정을 위해 복소 신호를 활용합니다. SAR 이미지에 있는 물체의 복잡성을 고려하여 공분산 행렬을 적응적으로 추정하기 위해 구조 특징 탐지가 도입되었습니다. 제안된 접근 방식의 효율성과 신뢰성은 시뮬레이션 데이터와 실제 데이터에 대한 실험을 통해 입증되었습니다.
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
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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
부
@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},}
부
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 -