Ground Target Detection and Damage Assessment by Patrol Missiles Based on YOLO-VGGNet

Ground Target Detection and Damage Assessment by Patrol Missiles Based on YOLO-VGGNet

Patrol missiles are a common type of unmanned aerial vehicle, which can be efficiently used for reconnaissance and sensing. In this work, target detection and the damage assessment of typical mobile ground targets by patrol missiles are studied, and a new method, combining the YOLO v3 with the VGG n...

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Bibliographic Details
Main Authors: Yibo Xu, Qinghua Yu, Yanjuan Wang, Junhao Xiao, Zhiqian Zhou, Huimin Lu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
damage assessment
target detection
feature layer visualization
class activation mapping
deconvolution
convolutional feature clustering
Online Access:https://www.mdpi.com/2076-3417/12/19/9484

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