Gaussian Information Entropy based band Reduction for Unsupervised Hyperspectral Video Tracking
Author:
Affiliation:
1. Northwestern Polytechnical University,School of Electronics and Information,Xi'an,China,710129
2. Mississippi State University,Department of Electrical and Computer Engineering,Starkville,MS,USA,39762
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884220.pdf?arnumber=9884220
Reference7 articles.
1. Fully-convolutional siamese networks for object tracking;bertinetto;European Conference on Computer Vision,0
2. Dynamic Material-Aware Object Tracking in Hyperspectral Videos
3. Siamese Box Adaptive Network for Visual Tracking
4. SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks
5. A Similarity-Based Ranking Method for Hyperspectral Band Selection
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1. SENSE: Hyperspectral video object tracker via fusing material and motion cues;Information Fusion;2024-09
2. SPIRIT: Spectral Awareness Interaction Network With Dynamic Template for Hyperspectral Object Tracking;IEEE Transactions on Geoscience and Remote Sensing;2024
3. Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos;IEEE Transactions on Geoscience and Remote Sensing;2024
4. DSP-Net: A Dynamic Spectral–Spatial Joint Perception Network for Hyperspectral Target Tracking;IEEE Geoscience and Remote Sensing Letters;2023
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