Hyperspectral Signal Subspace Identification in the Presence of Rare Vectors and Signal-Dependent Noise-Reference-Cited by-同舟云学术

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Hyperspectral Signal Subspace Identification in the Presence of Rare Vectors and Signal-Dependent Noise

Published:2013-01 Issue:1 Volume:51 Page:283-299
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Acito N.,Diani M.,Corsini G.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx5/36/6387651/06236128.pdf?arnumber=6236128

Cited by 14 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. Multi-method piecewise low-frequency identification;International Journal of Electrical Power & Energy Systems;2024-10

2. Review of information extraction methods from thermal infrared hyperspectral remote sensing images;Journal of Image and Graphics;2024

3. Pixel Unmixing;Reference Module in Earth Systems and Environmental Sciences;2024

4. A Probabilistic Hyperspectral Imagery Restoration Method;Applied Sciences;2019-06-21

5. Fast Semi-Supervised Unmixing of Hyperspectral Image by Mutual Coherence Reduction and Recursive PCA;Remote Sensing;2018-07-11

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