Target detection in non‐stationary clutter background and Riemannian geometry
Author:
Affiliation:
1. School of Electronic Science and EngineeringNational University of Defense TechnologyChangshaHunan410073People's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2013.0074
Reference20 articles.
1. Improved Characterization of Non-Stationary Flows Using a Regularized Spectral Analysis of Ultrasound Doppler Signals
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3. Impact of sea clutter nonstationarity on disturbance covariance matrix estimation and CFAR detector performance;Gini F.;IEEE Trans. Aerosp. Electron. Syst.,2010
4. Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements
5. Methods of information geometry;Gianfelici F.;IEEE Trans. Inf. Theory,2009
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1. Fast Dual Trifeature-Based Detection of Small Targets in Sea Clutter by Using Median Normalized Doppler Amplitude Spectra;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023
2. Sea-Surface Floating Small Target Detection by One-Class Classifier in Time-Frequency Feature Space;IEEE Transactions on Geoscience and Remote Sensing;2018-11
3. Floating small target detection in sea clutter via normalised Doppler power spectrum;IET Radar, Sonar & Navigation;2016-04
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