DSP-Net: A Dynamic Spectral–Spatial Joint Perception Network for Hyperspectral Target Tracking-Reference-Cited by-同舟云学术

DSP-Net: A Dynamic Spectral–Spatial Joint Perception Network for Hyperspectral Target Tracking

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zhu Xuguang¹^ORCID,Zhang Haorui¹,Hu Bin¹^ORCID,Huang Kunpeng¹^ORCID,Arun Pattathal V.²,Jia Xiuping³^ORCID,Zhao Dong¹^ORCID,Wang Qing¹,Zhou Huixin⁴,Yang Shuowen⁴^ORCID

Affiliation:

1. Jiangsu Province Engineering Research Center of Integrated Circuit Reliability Technology and Testing System, Wuxi University, Wuxi, China

2. School of Computer Science and Engineering Group, Indian Institute of Information Technology, Sri City, India

3. School of Engineering and Information Technology, The University of New South Wales, Canberra, A.C.T., Australia

4. School of Physics, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Higher Education Discipline Innovation Project

Wuxi Innovation and Entrepreneurship Fund “Taihu Light” Science and Technology (Fundamental Research) Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10286513.pdf?arnumber=10286513

Reference17 articles.

1. Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter

2. Histograms of oriented mosaic gradients for snapshot spectral image description

3. Gaussian Information Entropy based band Reduction for Unsupervised Hyperspectral Video Tracking

4. Hyperspectral Video Tracker Based on Spectral Deviation Reduction and a Double Siamese Network

5. Tracking in Aerial Hyperspectral Videos Using Deep Kernelized Correlation Filters

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