Synthetic Aperture Radar Target Recognition Using Weighted Multi-Task Kernel Sparse Representation

Synthetic Aperture Radar Target Recognition Using Weighted Multi-Task Kernel Sparse Representation

As an extension of traditional sparse representation (SR), kernel SR has received great interest recently in the areas of computer vision and pattern recognition. It shows a considerable capacity to map linearly inseparable data into high-dimensional feature space via nonlinear mapping technique, an...

Full description

Bibliographic Details
Main Authors: Chen Ning, Wenbo Liu, Gong Zhang, Xin Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Synthetic aperture radar
sparse representation
kernel
multi-task
target recognition
Online Access:https://ieeexplore.ieee.org/document/8932501/

Internet

https://ieeexplore.ieee.org/document/8932501/

Similar Items