Optimal Band Selection Using Evolutionary Machine Learning to Improve the Accuracy of Hyper-spectral Images Classification: a Novel Migration-Based Particle Swarm Optimization
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DOI: 10.1007/s00357-023-09448-w
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- Julian Rossbroich & Jeffrey Durieux & Tom F. Wilderjans, 2022. "Model Selection Strategies for Determining the Optimal Number of Overlapping Clusters in Additive Overlapping Partitional Clustering," Journal of Classification, Springer;The Classification Society, vol. 39(2), pages 264-301, July.
- Habib, Salman & Aghakhani, Sina & Ghasempour Nejati, Mobin & Azimian, Mahdi & Jia, Youwei & Ahmed, Emad M., 2023. "Energy management of an intelligent parking lot equipped with hydrogen storage systems and renewable energy sources using the stochastic p-robust optimization approach," Energy, Elsevier, vol. 278(C).
- Kaveh, Mehrdad & Mesgari, Mohammad Saadi & Saeidian, Bahram, 2023. "Orchard Algorithm (OA): A new meta-heuristic algorithm for solving discrete and continuous optimization problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 208(C), pages 95-135.
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Keywords
Hyper-spectral (HS) images classification; Band selection; Migration-based particle swarm optimization; Support vector machine; Conditional mutation operator; Machine learning (ML);All these keywords.
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