WSMRSTD-Net: A Lightweight and Robust Deep Learning Framework for Radar-Based Range-Spread Target Detection

For multiple range-spread target (MRST) detection, conventional threshold-based methods suffer from weak environmental adaptability and inadequate target modeling capability, often causing false alarms. In contrast, image-based neural networks exhibit high computational complexity. To accurately det...

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Bibliografiske detaljer

Principais autores:	Wangshuo Tang, Mengdao Xing, Fei Meng, Min Xue, Zhixin Wu, Yidi Wang, Yuexin Gao
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fag:	Deep learning neural network range spread target single-stage detector wideband radar detection
Online adgang:	https://ieeexplore.ieee.org/document/11133744/
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