Sparse Representation Based SAR Vehicle Recognition along with Aspect Angle
As a method of representing the test sample with few training samples from an overcomplete dictionary, sparse representation classification (SRC) has attracted much attention in synthetic aperture radar (SAR) automatic target recognition (ATR) recently. In this paper, we develop a novel SAR vehicle...
Saved in:
Main Authors: | Xiangwei Xing, Kefeng Ji, Huanxin Zou, Jixiang Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/834140 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Efficient high‐speed framework for sparse representation‐based iris recognition
by: Michael Melek, et al.
Published: (2021-05-01) -
A Sparse Representation Method for Coherent Sources Angle Estimation with Uniform Circular Array
by: Xiaolong Su, et al.
Published: (2019-01-01) -
A Joint Doppler Frequency Shift and DOA Estimation Algorithm Based on Sparse Representations for Colocated TDM-MIMO Radar
by: Tao Chen, et al.
Published: (2014-01-01) -
Corresponding keypoint constrained sparse representation three‐dimensional ear recognition via one sample per person
by: Qinping Zhu, et al.
Published: (2022-05-01) -
Reinforcement learning-based vehicle travel path reconstruction from sparse automatic licence plate recognition data
by: Qiuping Li, et al.
Published: (2025-01-01)