On Adversarial Robust Generalization of DNNs for Remote Sensing Image Classification
Deep neural networks (DNNs)-based deep learning is an important technical support in the task of remote sensing image classification. But DNNs are susceptible to adversarial attacks. Adversarial training is one of the effective ways to obtain robust models that can against such attacks. However, man...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10965860/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|