Convolutional Neural Network Based on Feature Decomposition for Target Detection in SAR Images

Convolutional Neural Network Based on Feature Decomposition for Target Detection in SAR Images

Most high-resolution Synthetic Aperture Radar (SAR) images of real-life scenes are complex due to clutter, such as grass, trees, roads, and buildings, in the background. Traditional target detection algorithms for SAR images contain numerous false and missed alarms due to such clutter, adversely aff...

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Bibliographic Details
Main Authors: Yi LI, Lan DU, Yuang DU
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2023-10-01
Series:Leida xuebao
Subjects:
synthetic aperture radar (sar)
convolutional neural network (cnn)
target detection
feature decomposition
discriminative features
interfering features
Online Access:https://radars.ac.cn/cn/article/doi/10.12000/JR23004

Internet

https://radars.ac.cn/cn/article/doi/10.12000/JR23004

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