Tensor Spectral k-Support Norm Minimization for Detecting Infrared Dim and Small Target Against Urban Backgrounds
Author:
Affiliation:
1. Beijing Key Laboratory of Fractional Signals and Systems, School of Information and Electronics, Beijing Institute of Technology, Beijing, China
2. School of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou, China
Funder
Postdoctoral Science Foundation of China
National Natural Science Foundation of China
Chinese Aeronautical Establishment
Key Scientific and Technological Projects in Henan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10129884.pdf?arnumber=10129884
Reference46 articles.
1. Reweighted Infrared Patch-Tensor Model With Both Nonlocal and Local Priors for Single-Frame Small Target Detection
2. Robust Low-Rank Tensor Minimization via a New Tensor Spectral $k$ -Support Norm
3. Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery
4. A Novel Pattern for Infrared Small Target Detection With Generative Adversarial Network
5. Infrared moving point target detection based on spatial–temporal local contrast filter
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1. 4DST-BTMD: An Infrared Small Target Detection Method Based on 4-D Data-Sphered Space;IEEE Transactions on Geoscience and Remote Sensing;2024
2. Robust Unsupervised Multifeature Representation for Infrared Small Target Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
3. Clustering and Tracking-Guided Infrared Spatial–Temporal Small Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2024
4. Feedback Spatial–Temporal Infrared Small Target Detection Based on Orthogonal Subspace Projection;IEEE Transactions on Geoscience and Remote Sensing;2024
5. CCRANet: A Two-Stage Local Attention Network for Single-Frame Low-Resolution Infrared Small Target Detection;Remote Sensing;2023-11-28
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