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FPGA-Based Hybrid-Type Implementation of Quantized Neural Networks for Remote Sensing Applications
Recently, extensive convolutional neural network (CNN)-based methods have been used in remote sensing applications, such as object detection and classification, and have achieved significant improvements in performance. Furthermore, there are a lot of hardware implementation demands for remote sensi...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412419/ https://www.ncbi.nlm.nih.gov/pubmed/30813259 http://dx.doi.org/10.3390/s19040924 |