Efficient and portable parallel framework for hyperspectral image dimensionality reduction on heterogeneous platforms-Reference-Cited by-同舟云学术

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Efficient and portable parallel framework for hyperspectral image dimensionality reduction on heterogeneous platforms

Published:2017-03-15 Issue:1 Volume:11 Page:015022
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Fang Minquan¹,Fang Jianbin²,Zhang Weimin³

Affiliation:

1. National University of Defense Technology, Academy of Ocean Science and Engineering, Changsha, ChinabNational University of Defense Technology, College of Computer, Changsha, China

2. National University of Defense Technology, College of Computer, Changsha, China

3. National University of Defense Technology, Academy of Ocean Science and Engineering, Changsha, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 3 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. A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects;Computers and Electronics in Agriculture;2024-07

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

3. A Computation-Aware TPL Utilization Procedure for Parallelizing the FastICA Algorithm on a Multi-Core CPU;2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2021-12

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