An Adaptive Adversarial Patch-Generating Algorithm for Defending against the Intelligent Low, Slow, and Small Target

An Adaptive Adversarial Patch-Generating Algorithm for Defending against the Intelligent Low, Slow, and Small Target

The “low, slow, and small” target (LSST) poses a significant threat to the military ground unit. It is hard to defend against due to its invisibility to numerous detecting devices. With the onboard deep learning-based object detection methods, the intelligent LSST (ILSST) can find and detect the gro...

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Bibliographic Details
Main Authors: Jarhinbek Rasol, Yuelei Xu, Zhaoxiang Zhang, Fan Zhang, Weijia Feng, Liheng Dong, Tian Hui, Chengyang Tao
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
“low, slow, and small” target
denied environment
adversarial patch
object detection network
Online Access:https://www.mdpi.com/2072-4292/15/5/1439

Internet

https://www.mdpi.com/2072-4292/15/5/1439

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