Material-Guided Multiview Fusion Network for Hyperspectral Object Tracking-Reference-Cited by-同舟云学术

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Material-Guided Multiview Fusion Network for Hyperspectral Object Tracking

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:

Li Zhuanfeng¹^ORCID,Xiong Fengchao¹^ORCID,Zhou Jun²^ORCID,Lu Jianfeng¹^ORCID,Zhao Zhuang³^ORCID,Qian Yuntao⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia

3. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China

4. College of Computer Science, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

“111” Program

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10438474.pdf?arnumber=10438474

Reference65 articles.

1. Remote Sensing Object Tracking With Deep Reinforcement Learning Under Occlusion

2. A Joint Siamese Attention-Aware Network for Vehicle Object Tracking in Satellite Videos

3. Discriminative Scale Space Tracking

4. Discriminative Correlation Filter with Channel and Spatial Reliability

5. Siamese Box Adaptive Network for Visual Tracking

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. TSFE: Two-Stage Feature Enhancement for Remote Sensing Image Captioning;Remote Sensing;2024-05-22

2. SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising;IEEE Transactions on Geoscience and Remote Sensing;2024

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