A Novel Radar HRRP Recognition Method with Accelerated T-Distributed Stochastic Neighbor Embedding and Density-Based Clustering
High-resolution range profile (HRRP) has attracted intensive attention from radar community because it is easy to acquire and analyze. However, most of the conventional algorithms require the prior information of targets, and they cannot process a large number of samples in real time. In this paper,...
Main Authors: | Hao Wu, Dahai Dai, Xuesong Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-11-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/23/5112 |
Similar Items
-
Unsupervised Ensemble Learning Improves Discriminability of Stochastic Neighbor Embedding
by: Jian Wang, et al.
Published: (2023-03-01) -
Stochastic Neighbor Embedding Feature-Based Hyperspectral Image Classification Using 3D Convolutional Neural Network
by: Md. Moazzem Hossain, et al.
Published: (2023-05-01) -
A Novel Density based Clustering Method using Nearest and Farthest Neighbor with PCA
by: Azadeh Faroughi, et al.
Published: (2017-06-01) -
Scattering Mechanism Identification Based on Polarimetric HRRP of Manmade Target
by: Wu Jiani, et al.
Published: (2016-04-01) -
Survey of Radar HRRP Target Recognition Based on Parametric Statistical Model
by: Jian CHEN, et al.
Published: (2022-12-01)