Highly-Parallel GPU Architecture for Lossy Hyperspectral Image Compression-Reference-Cited by-同舟云学术

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Highly-Parallel GPU Architecture for Lossy Hyperspectral Image Compression

Published:2013-04 Issue:2 Volume:6 Page:670-681
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:

Santos Lucana,Magli Enrico,Vitulli Raffaele,Lopez Jose F.,Sarmiento Roberto

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/6516025/06507337.pdf?arnumber=6507337

Cited by 34 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. Leveraging Seed Generation for Efficient Hardware Acceleration of Lossless Compression of Remotely Sensed Hyperspectral Images;Electronics;2024-06-01

2. FPGA-Based Hyperspectral Lossy Compressor With Adaptive Distortion Feature for Unexpected Scenarios;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

3. A parallel compression framework for fractal images using DCT block classification;2022 IEEE 21st International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS);2022-12

4. An Efficient Classification of Hyperspectral Remotely Sensed Data Using Support Vector Machine;International Journal of Electronics and Telecommunications;2022-04-27

5. A Real-Time FPGA Implementation of the CCSDS 123.0-B-2 Standard;IEEE Transactions on Geoscience and Remote Sensing;2022

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