Robust Representation Learning Based on Deep Mutual Information for Scene Classification Against Adversarial Perturbations

Robust Representation Learning Based on Deep Mutual Information for Scene Classification Against Adversarial Perturbations

Remote sensing scene classification enables data-driven decisions for various applications, such as environmental monitoring, urban planning, and disaster management. However, deep learning models used for scene classification are highly vulnerable to adversarial samples, resulting in incorrect pred...

Full description

Saved in:
Bibliographic Details
Main Authors: Linjuan Li, Gang Xie, Haoxue Zhang, Xinlin Xie, Heng Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Adversarial examples
deep mutual information (MI)
deep neural networks (DNNs)
remote sensing (RS) images
scene classification
unsupervised domain adaptation (UDA)
Online Access:https://ieeexplore.ieee.org/document/10977989/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10977989/

Similar Items