Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification

Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification

Recently, convolutional neural networks (CNNs) have attracted enormous attention in pattern recognition and demonstrated excellent performance in hyperspectral image (HSI) classification. However, high-dimensional HSI dataset versus limited training samples is easy to cause the overfitting phenomeno...

Full description

Bibliographic Details
Main Authors: Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Yanzi Shi, Songlin Liu, Qian Du
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
HSI classification
hybrid residual attention
prototypical networks
spectral–spatial information
Online Access:https://ieeexplore.ieee.org/document/9126161/

Internet

https://ieeexplore.ieee.org/document/9126161/

Similar Items