A Novel Approach for Hyperspectral Image Classification using Bat Algorithm to Optimize a CNN Classifier
Author:
Affiliation:
1. “Politehnica” University of Bucharest,Faculty of Electronics, Telecommunications and Information Technology,Bucharest,Romania
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10193876/10193857/10193859.pdf?arnumber=10193859
Reference25 articles.
1. A new approach for accurate classification of hyperspectral images using Virtual Sample Generation by Concurrent Self-Organizing Maps
2. CNN Hyperspectral Image Classification Using Training Sample Augmentation with Generative Adversarial Networks
3. A Hybrid Sequential Classifier for Hyperspectral Imagery using Deep CNN with Ant Colony Optimization
4. Diverse Region-Based CNN for Hyperspectral Image Classification
5. Full model selection using Bat algorithm
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. A Data Augmentation Approach using WGAN with Grey Wolf Optimizer (GWO) to Improve Deep CNN Weak Supervised Classification of Hyperspectral Images;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27
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