A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification

Removing redundant features and improving classifier performance necessitates the use of meta-heuristic and deep learning (DL) algorithms in feature selection and classification problems. With the maturity of DL tools, many data-driven polarimetric synthetic aperture radar (POLSAR) representation mo...

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Detalles Bibliográficos
Autores principales: Sadeghi, Fatemeh, Larijani, Ata, Rostami, Omid, Martín, Diego, Hajirahimi, Parisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920293/
https://www.ncbi.nlm.nih.gov/pubmed/36772219
http://dx.doi.org/10.3390/s23031180

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920293/
https://www.ncbi.nlm.nih.gov/pubmed/36772219
http://dx.doi.org/10.3390/s23031180

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