Target recognition in synthetic aperture radar image based on PCANet

Target recognition in synthetic aperture radar image based on PCANet

Automatic targets recognition (ATR) for synthetic aperture radar (SAR) image is very important. ATR can be used in traffic management, national frontier safety, and so on. Traditional algorithms for SAR ATR is composed of extraction features and training classifier. The features are essential for th...

Full description

Bibliographic Details
Main Authors: Baogui Qi, Haitao Jing, He Chen, Yin Zhuang, Zhuo Yue, Chonglei Wang
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
image classification
feature extraction
synthetic aperture radar
radar target recognition
learning (artificial intelligence)
principal component analysis
radar imaging
radar computing
convolutional neural nets
synthetic aperture radar image
pcanet
traffic management
national frontier safety
sar atr
training classifier
classification accuracy
deep convolutional neural networks
natural images
remote-sensing data
principal component analysis network
shallow network
recognition task
sar images
deep-learning methods
cnn
moving and stationary target acquisition and recognition dataset
automatic targets recognition
mstar dataset
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0238

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0238

Similar Items