HTCNet: Hybrid Transformer-CNN for SAR Image Denoising

Synthetic aperture radar (SAR) is extensively utilized in diverse fields, including military defense and resource exploration, due to its all-day, all-weather characteristics. However, the extraction of information from SAR images is severely affected by speckle noise, making denoising crucial. This...

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Autors principals:	Min Huang, Shuaili Luo, Shuaihui Wang, Jinghang Guo, Jingyang Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Convolutional neural networks (CNNs) image denoising synthetic aperture radar transformer
Accés en línia:	https://ieeexplore.ieee.org/document/10723208/
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