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
Radar apertur sintetik (SAR) adalah peranti untuk memerhati permukaan tanah dan merupakan salah satu teknologi penting dalam bidang penderiaan jauh gelombang mikro. Dalam pemerhatian SAR, platform yang dilengkapi dengan antena apertur kecil terbang dalam garis lurus dan memancarkan gelombang nadi secara berterusan ke tanah semasa penerbangan. Selepas itu, dengan mensintesis siri data cerapan yang diperoleh semasa penerbangan, seseorang menyedari pemerhatian permukaan tanah resolusi tinggi. Dalam pemerhatian SAR, terdapat dua resolusi spatial yang ditakrifkan dalam julat dan arah azimut dan ia dihadkan oleh lebar jalur sistem SAR. Tujuan kajian ini adalah untuk menambah baik resolusi SAR melalui pembinaan semula yang jarang. Khususnya, kami berhasrat untuk meningkatkan resolusi SAR tanpa mengubah parameter frekuensi. Dalam makalah ini, kami mencadangkan untuk menambah baik resolusi SAR menggunakan algoritma pengecutan pengecutan lelaran (ISTA) dan mengesahkan kaedah yang dicadangkan dengan menjalankan analisis eksperimen menggunakan set data SAR sebenar. Keputusan eksperimen menunjukkan bahawa kaedah yang dicadangkan boleh meningkatkan resolusi SAR dengan kerumitan pengiraan yang rendah.
Masanori GOCHO
National Institute of Information and Communications Technology
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Salinan
Masanori GOCHO, "Sparse Reconstruction and Resolution Improvement of Synthetic Aperture Radar with Low Computational Complexity Using Deconvolution ISTA" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 12, pp. 1363-1371, December 2023, doi: 10.1587/transcom.2023CEP0013.
Abstract: Synthetic aperture radar (SAR) is a device for observing the ground surface and is one of the important technologies in the field of microwave remote sensing. In SAR observation, a platform equipped with a small-aperture antenna flies in a straight line and continuously radiates pulse waves to the ground during the flight. After that, by synthesizing the series of observation data obtained during the flight, one realize high-resolution ground surface observation. In SAR observation, there are two spatial resolutions defined in the range and azimuth directions and they are limited by the bandwidth of the SAR system. The purpose of this study is to improve the resolution of SAR by sparse reconstruction. In particular, we aim to improve the resolution of SAR without changing the frequency parameters. In this paper, we propose to improve the resolution of SAR using the deconvolution iterative shrinkage-thresholding algorithm (ISTA) and verify the proposed method by carrying out an experimental analysis using an actual SAR dataset. Experimental results show that the proposed method can improve the resolution of SAR with low computational complexity.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023CEP0013/_p
Salinan
@ARTICLE{e106-b_12_1363,
author={Masanori GOCHO, },
journal={IEICE TRANSACTIONS on Communications},
title={Sparse Reconstruction and Resolution Improvement of Synthetic Aperture Radar with Low Computational Complexity Using Deconvolution ISTA},
year={2023},
volume={E106-B},
number={12},
pages={1363-1371},
abstract={Synthetic aperture radar (SAR) is a device for observing the ground surface and is one of the important technologies in the field of microwave remote sensing. In SAR observation, a platform equipped with a small-aperture antenna flies in a straight line and continuously radiates pulse waves to the ground during the flight. After that, by synthesizing the series of observation data obtained during the flight, one realize high-resolution ground surface observation. In SAR observation, there are two spatial resolutions defined in the range and azimuth directions and they are limited by the bandwidth of the SAR system. The purpose of this study is to improve the resolution of SAR by sparse reconstruction. In particular, we aim to improve the resolution of SAR without changing the frequency parameters. In this paper, we propose to improve the resolution of SAR using the deconvolution iterative shrinkage-thresholding algorithm (ISTA) and verify the proposed method by carrying out an experimental analysis using an actual SAR dataset. Experimental results show that the proposed method can improve the resolution of SAR with low computational complexity.},
keywords={},
doi={10.1587/transcom.2023CEP0013},
ISSN={1745-1345},
month={December},}
Salinan
TY - JOUR
TI - Sparse Reconstruction and Resolution Improvement of Synthetic Aperture Radar with Low Computational Complexity Using Deconvolution ISTA
T2 - IEICE TRANSACTIONS on Communications
SP - 1363
EP - 1371
AU - Masanori GOCHO
PY - 2023
DO - 10.1587/transcom.2023CEP0013
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2023
AB - Synthetic aperture radar (SAR) is a device for observing the ground surface and is one of the important technologies in the field of microwave remote sensing. In SAR observation, a platform equipped with a small-aperture antenna flies in a straight line and continuously radiates pulse waves to the ground during the flight. After that, by synthesizing the series of observation data obtained during the flight, one realize high-resolution ground surface observation. In SAR observation, there are two spatial resolutions defined in the range and azimuth directions and they are limited by the bandwidth of the SAR system. The purpose of this study is to improve the resolution of SAR by sparse reconstruction. In particular, we aim to improve the resolution of SAR without changing the frequency parameters. In this paper, we propose to improve the resolution of SAR using the deconvolution iterative shrinkage-thresholding algorithm (ISTA) and verify the proposed method by carrying out an experimental analysis using an actual SAR dataset. Experimental results show that the proposed method can improve the resolution of SAR with low computational complexity.
ER -