An Efficient FPGA-Based Implementation for Quantized Remote Sensing Image Scene Classification Network

An Efficient FPGA-Based Implementation for Quantized Remote Sensing Image Scene Classification Network

Deep Convolutional Neural Network (DCNN)-based image scene classification models play an important role in a wide variety of remote sensing applications and achieve great success. However, the large-scale remote sensing images and the intensive computations make the deployment of these DCNN-based mo...

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Bibliographic Details
Main Authors: Xiaoli Zhang, Xin Wei, Qianbo Sang, He Chen, Yizhuang Xie
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Electronics
Subjects:
remote sensing image
scene classification
accelerator
DCNN
FPGA
quantization
Online Access:https://www.mdpi.com/2079-9292/9/9/1344

Internet

https://www.mdpi.com/2079-9292/9/9/1344

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