SAR Image Super-Resolution Based on Multiscale Edge Texture-Oriented GAN Approach

Synthetic aperture radar (SAR) imaging plays a crucial role in remote sensing; however, the inherent hardware characteristics, such as limited system bandwidth and the impacts of the synthetic aperture time, inevitably lead to resolution loss of SAR images. Low spatial resolution may lead to decreas...

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Главные авторы:	Yunfei Zhu, Yulin Huang, Mingjie Yang, Deqing Mao, Yin Zhang, Lu Jiao, Yongchao Zhang, Jianyu Yang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2025-01-01
Серии:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Предметы:	Edge enhancement generative adversarial network (GAN) multiscale edge texture-oriented synthetic aperture radar (SAR) imaging super-resolution (SR)
Online-ссылка:	https://ieeexplore.ieee.org/document/11115056/
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