Configurable 2D–3D CNNs Accelerator for FPGA-Based Hyperspectral Imagery Classification

Configurable 2D–3D CNNs Accelerator for FPGA-Based Hyperspectral Imagery Classification

Convolutional neural network (CNN) is used efficiently for the classification of hyperspectral imagery (HSI). Both 3-D CNN and hybrid 2D–3D CNN have better performance due to the full extraction of joint spatial-spectral features. Most of previous acceleration research on field-programmab...

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Bibliographic Details
Main Authors: Wenjing He, Yuesong Yang, Shaohui Mei, Jian Hu, Wanqiu Xu, Shiqi Hao
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
3-D convolutional neural network (CNN)
field-programmable gate array (FPGA)
hybrid CNN
hyperspectral imagery (HSI) classification
Online Access:https://ieeexplore.ieee.org/document/10271550/

Internet

https://ieeexplore.ieee.org/document/10271550/

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