Fractal-Based Ensemble Classification System for Hyperspectral Images-Reference-Cited by-同舟云学术

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Fractal-Based Ensemble Classification System for Hyperspectral Images

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Beirami Behnam Asghari¹^ORCID,Pirbasti Mehran A.²^ORCID,Akbari Vahid³^ORCID

Affiliation:

1. Department of Photogrammetry and Remote Sensing, Faculty of Geodesy and Geomatics, K. N. Toosi University of Technology, Tehran, Iran

2. SFI Centre for Research Training in Machine Learning, School of Computer Science, University College Dublin, Dublin 4, Ireland

3. Division of Computing Science and Mathematics, University of Stirling, Stirling, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10310004.pdf?arnumber=10310004

Reference22 articles.

1. Fractal analysis of remotely sensed images: A review of methods and applications

2. Cascade Superpixel Regularized Gabor Feature Fusion for Hyperspectral Image Classification

3. Satellite Images Classification in Rural Areas Based on Fractal Dimension

4. Remote Sensing Classification Using Fractal Dimensions over a Subtropical Hilly Region

5. Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification

Cited by 1 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. DCFF-Net: Deep Context Feature Fusion Network for High-Precision Classification of Hyperspectral Image;Remote Sensing;2024-08-15

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