A new subspace learning method called neighbourhood feature space (NFS) discriminant
analysis is proposed for high range resolution radar target recognition. An intra-and extra …

For radar automatic target recognition, the features should be extracted with sufficient target
information, high discrimination, noise robustness and low feature vector dimension. In this …

In this paper, a novel target recognition method, namely orthogonal maximum margin
projection subspace (OMMPS), is proposed for radar target recognition using high …

It is known that the subspace method is effective for radar target recognition. Its key step is to
find a suitable low-dimensional subspace. In this paper, a novel subspace method, namely …

In this paper, the idea of manifold learning is introduced into Stepped Frequency Radar
(SFR) target recognition, a new method based on Locality Preserving Projections (LPP) …

In this paper, a new subspace learning algorithm, called enhanced kernel uncorrelated
discriminant nearest feature line analysis (EKUDNFLA), is presented. The aim of …

For radar high resolution range profile (HRRP) recognition, three aspects are of great
importance to improve the performance, ie discrimination for outlier, classification for inner …

In this paper, a novel fuzzy optimal transformation (FOT) method for radar target recognition
using high-resolution range profile (HRRP) is proposed. The goal of this method is to …

Eigen-subspace and canonical-subspace methods are studied and applied to feature-
extraction for target recognition using range profiles of a High-range-Resolution-Radar …

To identify the out-of-database targets in the process of radar ground target recognition with
high resolution range profile, this paper proposes an improved radar ground target classifier …