Lqregularization-based unobserved baselines’ data estimation method for tomographic synthetic aperture radar inversion-Reference-Cited by-同舟云学术

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Lqregularization-based unobserved baselines’ data estimation method for tomographic synthetic aperture radar inversion

Published:2016-08-12 Issue:3 Volume:10 Page:035014
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Bi Hui¹,Zhang Bingchen²,Hong Wen²

Affiliation:

1. University of Chinese Academy of Sciences, No. 19, Yu Quan Lu, Beijing 100049, ChinabChinese Academy of Sciences, Institute of Electronics, Science and Technology on Microwave Imaging Laboratory, No. 19, North 4th Ring Road West, Haidian District, Beijing

2. Chinese Academy of Sciences, Institute of Electronics, Science and Technology on Microwave Imaging Laboratory, No. 19, North 4th Ring Road West, Haidian District, Beijing 100190, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference23 articles.

1. First demonstration of airborne SAR tomography using multibaseline L-band data

2. Three-dimensional multipass SAR focusing: experiments with long-term spaceborne data

3. Tomographic SAR Inversion by $L_{1}$ -Norm Regularization—The Compressive Sensing Approach

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Baseline distribution optimization and missing data completion in wavelet-based CS-TomoSAR;Science China Information Sciences;2017-08-25

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