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...

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Detalles Bibliográficos
Autores principales: Wei, Xin, Liu, Wenchao, Chen, Lei, Ma, Long, Chen, He, Zhuang, Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412419/
https://www.ncbi.nlm.nih.gov/pubmed/30813259
http://dx.doi.org/10.3390/s19040924

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