A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction-Reference-Cited by-同舟云学术

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A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction

Published:2022-06-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)
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Author:

Justo Jon Alvarez¹,Lupu Daniela²,Orlandic Milica¹,Necoara Ion²,Johansen Tor Arne³

Affiliation:

1. Norwegian University of Science and Technology,Department of Electronic Systems

2. University Politehnica Bucharest,Department of Automatic Control and Systems Engineering

3. Norwegian University of Science and Technology,Department of Engineering Cybernetics

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9816065/9816173/09816224.pdf?arnumber=9816224

Cited by 5 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. Reconfigurable Snapshot Hyperspectral Imaging Sensor Based on Monochromatic Pattern Match of Gradient Geometry Metasurface;ACS Photonics;2024-09-01

2. Advancements in Remote Compressive Hyperspectral Imaging: Adaptive Sampling with Low-Rank Tensor Image Reconstruction;Electronics;2024-07-10

3. Unmixing aware compression of hyperspectral image by rank aware orthogonal parallel factorization decomposition;Journal of Applied Remote Sensing;2023-11-30

4. Reconstruction of hyperspectral images with compressed sensing based on linear mixing model and affinity propagation clustering algorithm;Proceedings of the 2023 8th International Conference on Multimedia and Image Processing;2023-04-21

5. Study of the gOMP Algorithm for Recovery of Compressed Sensed Hyperspectral Images;2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2022-09-13

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