An Adaptive Capsule Network for Hyperspectral Remote Sensing Classification

An Adaptive Capsule Network for Hyperspectral Remote Sensing Classification

The capsule network (Caps) is a novel type of neural network that has great potential for the classification of hyperspectral remote sensing. However, the Caps suffers from the issue of gradient vanishing. To solve this problem, a powered activation regularization based adaptive capsule network (PAR...

Full description

Bibliographic Details
Main Authors: Xiaohui Ding, Yong Li, Ji Yang, Huapeng Li, Lingjia Liu, Yangxiaoyue Liu, Ce Zhang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
capsule network
hyperspectral remote sensing
adaptive routing algorithm
deep learning
Online Access:https://www.mdpi.com/2072-4292/13/13/2445

Similar Items

Similar Items