Spatially Variant Filtering Network Based on Generalized Optimal Constraints for Sidelobe Suppression in SAR Images

Sidelobes commonly disturb synthetic aperture radar (SAR) image understanding and interpretation. Traditional spatially variant filtering algorithms achieve a superior tradeoff between sidelobe suppression and resolution preservation by means of adaptively calculating filtering parameters under some...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2024, Vol.62, p.1-14
Hauptverfasser:	Suo, Yuxi, Fu, Kun, Wu, Youming, Meng, Qingbiao, Miao, Tian, Diao, Wenhui, Sun, Xian
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer aided software engineering Convolutional neural networks Deep learning Maintenance Optimization Radar polarimetry sidelobe suppression Signal processing algorithms Signal resolution Solids Spatial resolution spatially variant filtering Synthetic aperture radar synthetic aperture radar (SAR)
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