Automatic Deployment of Convolutional Neural Networks on FPGA for Spaceborne Remote Sensing Application
In recent years, convolutional neural network (CNN)-based algorithms have been widely used in remote sensing image processing and show tremendous performance in a variety of application fields. However, large amounts of data and intensive computations make the deployment of CNN-based algorithms a ch...
Main Authors: | Tianwei Yan, Ning Zhang, Jie Li, Wenchao Liu, He Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/13/3130 |
Similar Items
-
FPGA-Based Implementation of a CNN Architecture for the On-Board Processing of Very High-Resolution Remote Sensing Images
by: Romen Neris, et al.
Published: (2022-01-01) -
An FPGA-Based CNN Accelerator Integrating Depthwise Separable Convolution
by: Bing Liu, et al.
Published: (2019-03-01) -
Interference Signal Identification of Sensor Array Based on Convolutional Neural Network and FPGA Implementation
by: Lin Huang, et al.
Published: (2021-11-01) -
FPGA Implementation of a Convolutional Neural Network and Its Application for Pollen Detection upon Entrance to the Beehive
by: Tomyslav Sledevič, et al.
Published: (2022-11-01) -
Design of FPGA Accelerator Architecture for Convolutional Neural Network
by: LI Bingjian, QIN Guoxuan, ZHU Shaojie, PEI Zhihui
Published: (2020-03-01)