Radar target recognition based on parameterized high resolution range profiles

X Liao, Z Bao - International journal of pattern recognition and …, 2000 - World Scientific
A new scheme of radar target recognition based on parameterized high resolution range
profiles (PHRRP) is presented in this paper. A novel criterion called generalized-weighted …

Enhanced Kernel Uncorrelated Discriminant Nearest Feature Line Analysis for Radar Target Recognition

C Wan, X Yu, Y Zhou, X Wang - International Conference on Pattern …, 2014 - scitepress.org
In this paper, a new subspace learning algorithm, called enhanced kernel uncorrelated
discriminant nearest feature line analysis (EKUDNFLA), is presented. The aim of …

Sv-means: A fast svm-based level set estimator for phase-modulated radar waveform classification

A Pavy, B Rigling - IEEE Journal of Selected Topics in Signal …, 2018 - ieeexplore.ieee.org
In this paper, a novel algorithm, SV-Means, is formulated for open set radar waveform
classification. The approach extends the quantile one-class support vector machine (q …

Radar high-resolution range profile target recognition with hyperparameter self-learning

Y Liu, B Chen, W Chen, Q Zhao - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
A hyperparameter self-learning method is developed for radar high-resolution range profile
(HRRP) target recognition, which searches for the best hyperparameters based on the …

Imbalanced learning for pattern recognition: an empirical study

H He, S Chen, H Man, S Desai… - … Sensors and Sensor …, 2010 - spiedigitallibrary.org
The imbalanced learning problem (learning from imbalanced data) presents a significant
new challenge to the pattern recognition and machine learning society because in most …

Radar automatic target recognition using complex high-resolution range profiles

L Du, H Liu, Z Bao, J Zhang - IET Radar, Sonar & Navigation, 2007 - IET
Radar high-resolution range profile (HRRP) has received intensive attention from the radar
automatic target recognition (RATR) community. Usually, since the initial phase of a complex …

[引用][C] Laplacian Transductive Optimal Design for Millimeter Wave Radar Ground Target Classification

J Wang, Y Li, J Chen, F Meng - International …, 2013 - Advanced Institutes of Convergence …

[引用][C] A cost-sensitive imbalanced data classification algorithm based on KPCA-Stacking

T CAO, Z ZHANG - Computer Engineering & Science

Cost-sensitive large margin distribution machine for classification of imbalanced data

F Cheng, J Zhang, C Wen - Pattern Recognition Letters, 2016 - Elsevier
This paper proposes a new method to design a balanced classifier on imbalanced training
data based on margin distribution theory. Recently, Large margin Distribution Machine …

[引用][C] Kernel optimization algorithm based on fusion kernel for high-resolution range profiles recognition.

B Chen, HW Liu, Z Bao, XF Cao - Dianzi Xuebao(Acta Electronica Sinica), 2006