Robust Linear Spectral Unmixing Using Anomaly Detection-Reference-Cited by-同舟云学术

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Robust Linear Spectral Unmixing Using Anomaly Detection

Published:2015-06 Issue:2 Volume:1 Page:74-85
ISSN:2333-9403
Container-title:IEEE Transactions on Computational Imaging
language:
Short-container-title:IEEE Trans. Comput. Imaging

Author:

Altmann Yoann,McLaughlin Steve,Hero Alfred

Funder

Direction Générale de l’Armement, French Ministry of Defence

EPSRC

U.S. Army Research Office

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Mathematics,Computer Science Applications,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6745852/7217864/07154426.pdf?arnumber=7154426

Cited by 31 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. Spectral unmixing of hyperspectral images based on block sparse structure;Journal of Applied Remote Sensing;2023-03-02

2. Generalized Interval Type-II Fuzzy Rough Model-Based Feature Discretization for Mixed Pixels;IEEE Transactions on Fuzzy Systems;2023-03

3. Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A comprehensive review;IEEE Geoscience and Remote Sensing Magazine;2023-03

4. Machine learning for nanoplasmonics;Nature Nanotechnology;2023-01-26

5. Robust Linear Unmixing for Hyperspectral Remote Sensing Imagery Based on Enhanced Constraint of Classification;IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium;2022-07-17

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