Performance analysis of SAR super-resolution imaging based on CS theory

Ya'Nan Duan; Ze Yu; Haiying Wei

doi:10.1109/IGARSS.2012.6350538

Performance analysis of SAR super-resolution imaging based on CS theory

Ya'Nan Duan^*
, Ze Yu
, Haiying Wei

^*此作品的通讯作者

电子信息工程学院

Beihang University

科研成果: 会议稿件 › 论文 › 同行评审

摘要

Compressed sensing (CS) theory can be applied to SAR imaging to achieve super-resolution images. To elaborate SAR imaging performance based on CS theory, this paper analyzes the characteristics of signal and discusses resolution from macroscopic and microcosmic aspects. And the factors which affect SAR super-resolution performance are discussed. On this basis, two important conclusions on the reconstruction performance are deduced, and they are verified through simulation and experiments.

源语言	英语
页	3979-3982
页数	4
DOI	https://doi.org/10.1109/IGARSS.2012.6350538
出版状态	已出版 - 2012
活动	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, 德国期限: 22 7月 2012 → 27 7月 2012

会议

会议	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
国家/地区	德国
市	Munich
时期	22/07/12 → 27/07/12

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10.1109/IGARSS.2012.6350538

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引用此

@conference{b80623ab401141028d5289590202a05c,

title = "Performance analysis of SAR super-resolution imaging based on CS theory",

abstract = "Compressed sensing (CS) theory can be applied to SAR imaging to achieve super-resolution images. To elaborate SAR imaging performance based on CS theory, this paper analyzes the characteristics of signal and discusses resolution from macroscopic and microcosmic aspects. And the factors which affect SAR super-resolution performance are discussed. On this basis, two important conclusions on the reconstruction performance are deduced, and they are verified through simulation and experiments.",

keywords = "CS, SAR, macroscopic resolution, microcosmic resolution",

author = "Ya'Nan Duan and Ze Yu and Haiying Wei",

year = "2012",

doi = "10.1109/IGARSS.2012.6350538",

language = "英语",

pages = "3979--3982",

note = "2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

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TY - CONF

T1 - Performance analysis of SAR super-resolution imaging based on CS theory

AU - Duan, Ya'Nan

AU - Yu, Ze

AU - Wei, Haiying

PY - 2012

Y1 - 2012

N2 - Compressed sensing (CS) theory can be applied to SAR imaging to achieve super-resolution images. To elaborate SAR imaging performance based on CS theory, this paper analyzes the characteristics of signal and discusses resolution from macroscopic and microcosmic aspects. And the factors which affect SAR super-resolution performance are discussed. On this basis, two important conclusions on the reconstruction performance are deduced, and they are verified through simulation and experiments.

AB - Compressed sensing (CS) theory can be applied to SAR imaging to achieve super-resolution images. To elaborate SAR imaging performance based on CS theory, this paper analyzes the characteristics of signal and discusses resolution from macroscopic and microcosmic aspects. And the factors which affect SAR super-resolution performance are discussed. On this basis, two important conclusions on the reconstruction performance are deduced, and they are verified through simulation and experiments.

KW - CS

KW - SAR

KW - macroscopic resolution

KW - microcosmic resolution

UR - https://www.scopus.com/pages/publications/84873192267

U2 - 10.1109/IGARSS.2012.6350538

DO - 10.1109/IGARSS.2012.6350538

M3 - 论文

AN - SCOPUS:84873192267

SP - 3979

EP - 3982

T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Performance analysis of SAR super-resolution imaging based on CS theory

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