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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Yunfei Zhu, Yulin Huang, Mingjie Yang, Deqing Mao, Yin Zhang, Lu Jiao, Yongchao Zhang, Jianyu Yang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2025-01-01
Sarja:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Aiheet:	Edge enhancement generative adversarial network (GAN) multiscale edge texture-oriented synthetic aperture radar (SAR) imaging super-resolution (SR)
Linkit:	https://ieeexplore.ieee.org/document/11115056/
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