Segmentation-based linear discriminant analysis with information theoretic feature selection for hyperspectral image classification

Author:

Afjal Masud Ibn1ORCID,Mondal Md. Nazrul Islam1,Mamun Md. Al1ORCID

Affiliation:

1. Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Cited by 9 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. Multi-hop double-branch network for small sample hyperspectral image classification;Journal of Spatial Science;2024-05-14

2. Spectral-Spatial Feature Extraction for Multi-Change Detection in Bi-Temporal Hyperspectral Images;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

3. Spectral-Spatial Subspace Detection for Improved Change Detection in Hyperspectral Images;2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE);2024-04-25

4. Spectral-Spatial Feature Extraction for Change Detection in Bi-temporal Hyperspectral Images;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

5. Effective hyperspectral image classification based on segmented PCA and 3D-2D CNN leveraging multibranch feature fusion;Journal of Spatial Science;2024-01-30

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