Randomized Tensor Robust PCA for Noisy Hyperspectral Image Classification
Author:
Affiliation:
1. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10057386.pdf?arnumber=10057386
Reference28 articles.
1. Robust Hyperspectral Image Target Detection Using an Inequality Constraint
2. FPGA Implementation of a Hardware Optimized Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis
3. Denoising of Hyperspectral Imagery Using Principal Component Analysis and Wavelet Shrinkage
4. On the Impact of PCA Dimension Reduction for Hyperspectral Detection of Difficult Targets
5. Spectral-Spatial Hyperspectral Unmixing Using Nonnegative Matrix Factorization
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. Robust Rank-Revealing Block-Term Decomposition and Hyperspectral Image Denoising;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. An Efficient and Adaptive Reconstructive Homogeneous Block-Based Local Tensor Robust PCA for Feature Extraction of Hyperspectral Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
3. Tensor Robust CUR for Compression and Denoising of Hyperspectral Data;IEEE Access;2023
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