Randomized subspace-based robust principal component analysis for hyperspectral anomaly detection
Author:
Affiliation:
1. Ningbo University, Department of Geography and Spatial Information Techniques, Ningbo, Zhejiang
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference55 articles.
1. Progress in Hyperspectral Remote Sensing Science and Technology in China Over the Past Three Decades
2. Hyperspectral Remote Sensing Data Analysis and Future Challenges
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