A Configurable Accelerator for CNN-Based Remote Sensing Object Detection on FPGAs

A Configurable Accelerator for CNN-Based Remote Sensing Object Detection on FPGAs

Convolutional neural networks (CNNs) have been widely used in satellite remote sensing. However, satellites in orbit with limited resources and power consumption cannot meet the storage and computing power requirements of current million-scale artificial intelligence models. This paper proposes a ne...

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Bibliographic Details
Main Authors: Yingzhao Shao, Jincheng Shang, Yunsong Li, Yueli Ding, Mingming Zhang, Ke Ren, Yang Liu
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:IET Computers & Digital Techniques
Online Access:http://dx.doi.org/10.1049/2024/4415342
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