Airborne Small Target Detection Method Based on Multimodal and Adaptive Feature Fusion-Reference-Cited by-同舟云学术

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Airborne Small Target Detection Method Based on Multimodal and Adaptive Feature Fusion

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Xu Shufang¹,Chen Xu¹^ORCID,Li Haiwei²,Liu Tianci³,Chen Zhonghao¹^ORCID,Gao Hongmin¹^ORCID,Zhang Yiyan¹^ORCID

Affiliation:

1. College of Information Science and Engineering, Hohai University, Changzhou, China

2. Key Laboratory of Spectral Imaging Technology of CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China

3. College of Computer Science and Software Engineering, Hohai University, Nanjing, China

Funder

Open Research Fund of Shaanxi Key Laboratory of Optical Remote Sensing and Intelligent Information Processing

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10637455.pdf?arnumber=10637455

Reference69 articles.

1. Comparison of UAV photograph-based and airborne lidar-based point clouds over forest from a forestry application perspective

2. Autonomous UAV Surveillance in Complex Urban Environments

3. Measuring fire severity using UAV imagery in semi-arid central Queensland, Australia

4. 3D reconstruction of disaster scenes for urban search and rescue

5. Design and Research of UAV For Campus Express Delivery

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