A sparse representation and Cauchy distance combination graph for hyperspectral target detection
Author:
Affiliation:
1. School of Optics and Photonics, Beijing Institute of Technology, Beijing, China
2. School of Information and Electronics, Beijing Institute of Technology, Beijing, China
Funder
National Natural Science Foundation Distinguished Youth Science Fund under Grant
in part by the Hubei Key Laboratory of Intelligent Robot under Grant
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2023.2282399
Reference24 articles.
1. Robust anisotropic diffusion
2. Constrained subpixel target detection for remotely sensed imagery
3. Sparse Representation for Target Detection in Hyperspectral Imagery
4. Semisupervised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs
5. Predictive graph construction for image compression
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. Integration of an autoencoder and background suppression for hyperspectral anomaly detection;Remote Sensing Letters;2024-08-20
2. Target Detection With Spectral Graph Contrast Clustering Assignment and Spectral Graph Transformer in Hyperspectral Imagery;IEEE Transactions on Geoscience and Remote Sensing;2024
3. Cognitive Fusion of Graph Neural Network and Convolutional Neural Network for Enhanced Hyperspectral Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2024
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