Assessment of Various Multimodal Fusion Approaches Using Synthetic Aperture Radar (SAR) and Electro-Optical (EO) Imagery for Vehicle Classification via Neural Networks †

Multimodal fusion approaches that combine data from dissimilar sensors can better exploit human-like reasoning and strategies for situational awareness. The performance of a six-layer convolutional neural network (CNN) and an 18-layer ResNet architecture are compared for a variety of fusion methods...

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Detalles Bibliográficos
Autores principales: Narayanan, Ram M., Wood, Noah S., Lewis, Benjamin P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963728/
https://www.ncbi.nlm.nih.gov/pubmed/36850805
http://dx.doi.org/10.3390/s23042207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963728/
https://www.ncbi.nlm.nih.gov/pubmed/36850805
http://dx.doi.org/10.3390/s23042207

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