Sparse abundance estimation with low-rank reconstruction for hyperspectral unmixing
Author:
Affiliation:
1. School of Electronics and Information Engineering, TaiZhou University , Zhejiang, China
Funder
Science and Technology Planning Project of Taizhou City
the General Research Projects of Zhejiang Education Department
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1750733
Reference72 articles.
1. Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation
2. Robustness Improvement of Hyperspectral Image Unmixing by Spatial Second-Order Regularization
3. Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing
4. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
5. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
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