A lightweight multi-feature fusion network for unmanned aerial vehicle infrared ray image object detection-Reference-Cited by-同舟云学术

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A lightweight multi-feature fusion network for unmanned aerial vehicle infrared ray image object detection

Published:2024-06 Issue:2 Volume:27 Page:268-276
ISSN:1110-9823
Container-title:The Egyptian Journal of Remote Sensing and Space Sciences
language:en
Short-container-title:The Egyptian Journal of Remote Sensing and Space Sciences

Author:

Chen Yunlei,Liu Ziyan^ORCID,Zhang Lihui,Wu Yingyu,Zhang Qian,Zheng Xuhui

Funder

Guizhou University

Guizhou Province Department of Science and Technology

Publisher

Elsevier BV

Reference31 articles.

1. Xception: deep learning with depthwise separable convolutions;Chollet,2017

2. HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection;[dataset]Suo;Scientific Data,2023

3. Anchor-free lightweight infrared object detection method (invitation);Fan;Inf. Laser Eng.,2022

4. Infrared small UAV target detection based on residual image prediction via global and local dilated residual networks;Fang;IEEE Geosci. Remote Sens. Lett.,2022

5. Fast R-CNN;Girshick,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature-Enhanced Attention and Dual-GELAN Net (FEADG-Net) for UAV Infrared Small Object Detection in Traffic Surveillance;Drones;2024-07-08

2. PHSI-RTDETR: A Lightweight Infrared Small Target Detection Algorithm Based on UAV Aerial Photography;Drones;2024-06-03

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