Image Reconstruction With Deep CNN for Mirrored Aperture Synthesis-Reference-Cited by-同舟云学术

Image Reconstruction With Deep CNN for Mirrored Aperture Synthesis

Published:2022 Issue: Volume:60 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Xiao Chengwang¹^ORCID,Li Qingxia¹,Lei Zhenyu¹^ORCID,Zhao Guanghui¹^ORCID,Chen Zhiwei¹^ORCID,Huang Yuhang¹

Affiliation:

1. Science and Technology on Multi-Spectral Information Processing Laboratory, School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

Funder

Fund of the 8th Research Institute of China Aerospace Science and Technology Corporation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09739076.pdf?arnumber=9739076

Reference25 articles.

1. Maximum-Rank Arrays for Two-Dimensional Mirrored Aperture Synthesis

2. Rank-Full Arrays for 1-D Mirrored Aperture Synthesis

3. Analysis and Correction of the Rank-Deficient Error for 2-D Mirrored Aperture Synthesis

4. Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

5. 3D Convolutional Neural Networks for Human Action Recognition

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