Parallel Hyperspectral Coded Aperture for Compressive Sensing on GPUs-Reference-Cited by-同舟云学术

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Parallel Hyperspectral Coded Aperture for Compressive Sensing on GPUs

Published:2016-02 Issue:2 Volume:9 Page:932-944
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Bernabe Sergio^ORCID,Martin Gabriel,Nascimento Jose M. P.,Bioucas-Dias Jose M.,Plaza Antonio,Silva Vitor

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/7404297/07122383.pdf?arnumber=7122383

Cited by 13 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. STF-EGFA: A Remote Sensing Spatiotemporal Fusion Network with Edge-Guided Feature Attention;Remote Sensing;2022-06-25

2. cuFSDAF: An Enhanced Flexible Spatiotemporal Data Fusion Algorithm Parallelized Using Graphics Processing Units;IEEE Transactions on Geoscience and Remote Sensing;2022

3. Hyperspectral Snapshot Compressive Imaging With Dense Back-Projection Joint Attention Network;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

4. A Systematic Review of Hardware-Accelerated Compression of Remotely Sensed Hyperspectral Images;Sensors;2021-12-30

5. Recent Developments in Parallel and Distributed Computing for Remotely Sensed Big Data Processing;Proceedings of the IEEE;2021-08

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