Hyperspectral Sparse Unmixing via Nonconvex Shrinkage Penalties-Reference-Cited by-同舟云学术

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Hyperspectral Sparse Unmixing via Nonconvex Shrinkage Penalties

Published:2023 Issue: Volume:61 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ren Longfei¹^ORCID,Hong Danfeng¹^ORCID,Gao Lianru¹^ORCID,Sun Xu¹^ORCID,Huang Min¹,Chanussot Jocelyn²^ORCID

Affiliation:

1. Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. CNRS, Grenoble Institute of Technology (Grenoble INP), GIPSA-Lab, Université Grenoble Alpes, Grenoble, France

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/09999711.pdf?arnumber=9999711

Reference62 articles.

1. Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection

2. Nonconvex Splitting for Regularized Low-Rank + Sparse Decomposition

3. ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

4. Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing

5. Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

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4. Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

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