Selection of the 3-D Shearlet Cubes for Improving Hyperspectral Image Joint Sparse Classification-Reference-Cited by-同舟云学术

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Selection of the 3-D Shearlet Cubes for Improving Hyperspectral Image Joint Sparse Classification

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Mariem Zaouali¹,Sonia Bouzidi¹

Affiliation:

1. Institut Supérieur d'Informatique, Université de Tunis El Manar Equipe de recherche en Systémes Intelligents En Imagerie et Vision Artificielle,Laboratoire de recherche en Informatique, Modélisation et Traitement de l'Information et de la Connaissance,Ariana,Tunisia,2080

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884854.pdf?arnumber=9884854

Reference9 articles.

1. A Survey on Spectral–Spatial Classification Techniques Based on Attribute Profiles

2. Towards a Memetic Feature Selection Paradigm [Application Notes

3. 3-D Shearlet Transform Based Feature Extraction for Improved Joint Sparse Representation HSI Classification

4. Gabor cube selection based multitask joint sparse representation for hyperspectral image classification;sen;IEEE Transactions on Geoscience and Remote Sensing,2016

5. Principal component analysis

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