基于多源信息融合的巡飞弹对地目标识别与毁伤评估

徐艺博, 于清华, 王炎娟, 郭策, 冯世如… - 系统仿真学报, 2024 - china-simulation.com
面向利用多枚巡飞弹对地面高防御移动目标进行打击的任务场景, 提出一种基于多源信息融合的
巡飞弹对地移动目标识别与毁伤评估方法. 基于IoU 判定实现红外图像与可见光图像的多源信息 …

Artificial-intelligence-based methods for structural health monitoring

WA Altabey, M Noori - Applied Sciences, 2022 - mdpi.com
Intelligent and resilient infrastructure and smart cities make up a rapidly emerging field that
is redefining the future of urban development and ways of preserving the existing …

A dense feature pyramid network for remote sensing object detection

Y Sun, W Liu, Y Gao, X Hou, F Bi - Applied Sciences, 2022 - mdpi.com
In recent years, object detection in remote sensing images has become a popular topic in
computer vision research. However, there are various problems in remote sensing object …

Ground Target Recognition and Damage Assessment of Patrol Missiles Based on Multi-source Information Fusion

Y Xu, Q Yu, Y Wang, C Guo… - Journal of …, 2024 - dc-china-simulation …
For the multiple patrol missiles to attack the high defense capacity targets, a mobile ground
target detection and damage assessment method based on multi-source information fusion …

Soft computing algorithms for infrastructure monitoring: preliminary results of PROION project

K Nikolakopoulos, V Mpelogianni… - … on Remote Sensing …, 2023 - spiedigitallibrary.org
Structural health monitoring of civil infrastructures is a complex engineering problem that
requires the use of advanced soft computing algorithms. The rapid advances in soft …

Detection of Coconut Inflorescence Using YOLOv4 Variants, Single Shot Multibox Detector, and Aggregate Channel Features

MGA Bautista, J Alejandrino… - TENCON 2022-2022 …, 2022 - ieeexplore.ieee.org
Philippines is one of the top producers and exporters of coconut sugar around the world.
Coconut sugar is a healthy and low glycemic index alternative sweetener produced from …

Disaster Scene Classification with Deep Learning: A Keras-Based Approach Utilizing Robotic Systems

G Arora, RM Bhavadharini - 2024 IEEE Students Conference …, 2024 - ieeexplore.ieee.org
This study presents an innovative technique that leverages convolutional neural networks
(CNNs), an advanced computer vision methodology, to enhance the timely detection and …

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

Y Xu, Q Yu, Y Wang, J Xiao, Z Zhou, H Lu - Applied Sciences, 2022 - mdpi.com
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 …