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
Dalam Interferometri Radar Bukaan Sintetik (InSAR), pembongkaran fasa memegang kunci kepada penyongsangan tepat data ketinggian digital. Dua teknik baru diperkenalkan dalam kertas ini yang boleh melakukan pembongkaran fasa automatik. Yang pertama ialah algoritma potong dahan "optimum" dan yang kedua adalah teknik potong cawangan hibrid/segi empat terkecil, di mana lokasi tiang membentuk asas pemberat untuk pendekatan kuasa dua terkurang wajaran. Penggunaan kedua-dua teknik pada data ERS-1 menunjukkan bahawa ralat penyongsangan ketinggian adalah setanding dan menawarkan lebih daripada lima puluh peratus pengurangan dalam ralat ketinggian punca min kuasa dua (rms) berbanding kaedah kuasa dua terkecil lurus dan lebih tiga puluh lima peratus pengurangan dalam ralat ketinggian rms berbanding kaedah kuasa dua terkecil berwajaran berdasarkan skema pemberat data keselarasan. Teknik hibrid sangat menarik kerana kecekapan pengiraan dan keteguhannya jika dibandingkan dengan algoritma potong cawangan tradisional.
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Salinan
Jerome J. AKERSON, Yingching Eric YANG, Yoshihisa HARA, Bae-Ian WU, Jin A. KONG, "Automatic Phase Unwrapping Algorithms in Synthetic Aperture Radar (SAR) Interferometry" in IEICE TRANSACTIONS on Electronics,
vol. E83-C, no. 12, pp. 1896-1904, December 2000, doi: .
Abstract: In Synthetic Aperture Radar Interferometry (InSAR), phase unwrapping holds the key to accurate inversion of digital elevation data. Two new techniques are introduced in this paper that can perform automatic phase unwrapping. The first one is an "optimal" branch-cut algorithm and the second one a hybrid branch-cut/least-square technique, in which pole locations form the weighting basis for the weighted least-square approach. Application of both techniques to ERS-1 data indicates that the height inversion errors are comparable and offer over fifty percent reduction in root mean square (rms) height error compared to the straight least squares method and over thirty-five percent reduction in rms height error compared to the weighted least squares method based on coherence data weighting schemes. The hybrid technique is especially appealing due to its computational efficiency and robustness when compared to traditional branch-cut algorithms.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e83-c_12_1896/_p
Salinan
@ARTICLE{e83-c_12_1896,
author={Jerome J. AKERSON, Yingching Eric YANG, Yoshihisa HARA, Bae-Ian WU, Jin A. KONG, },
journal={IEICE TRANSACTIONS on Electronics},
title={Automatic Phase Unwrapping Algorithms in Synthetic Aperture Radar (SAR) Interferometry},
year={2000},
volume={E83-C},
number={12},
pages={1896-1904},
abstract={In Synthetic Aperture Radar Interferometry (InSAR), phase unwrapping holds the key to accurate inversion of digital elevation data. Two new techniques are introduced in this paper that can perform automatic phase unwrapping. The first one is an "optimal" branch-cut algorithm and the second one a hybrid branch-cut/least-square technique, in which pole locations form the weighting basis for the weighted least-square approach. Application of both techniques to ERS-1 data indicates that the height inversion errors are comparable and offer over fifty percent reduction in root mean square (rms) height error compared to the straight least squares method and over thirty-five percent reduction in rms height error compared to the weighted least squares method based on coherence data weighting schemes. The hybrid technique is especially appealing due to its computational efficiency and robustness when compared to traditional branch-cut algorithms.},
keywords={},
doi={},
ISSN={},
month={December},}
Salinan
TY - JOUR
TI - Automatic Phase Unwrapping Algorithms in Synthetic Aperture Radar (SAR) Interferometry
T2 - IEICE TRANSACTIONS on Electronics
SP - 1896
EP - 1904
AU - Jerome J. AKERSON
AU - Yingching Eric YANG
AU - Yoshihisa HARA
AU - Bae-Ian WU
AU - Jin A. KONG
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E83-C
IS - 12
JA - IEICE TRANSACTIONS on Electronics
Y1 - December 2000
AB - In Synthetic Aperture Radar Interferometry (InSAR), phase unwrapping holds the key to accurate inversion of digital elevation data. Two new techniques are introduced in this paper that can perform automatic phase unwrapping. The first one is an "optimal" branch-cut algorithm and the second one a hybrid branch-cut/least-square technique, in which pole locations form the weighting basis for the weighted least-square approach. Application of both techniques to ERS-1 data indicates that the height inversion errors are comparable and offer over fifty percent reduction in root mean square (rms) height error compared to the straight least squares method and over thirty-five percent reduction in rms height error compared to the weighted least squares method based on coherence data weighting schemes. The hybrid technique is especially appealing due to its computational efficiency and robustness when compared to traditional branch-cut algorithms.
ER -