EESAGAN: Edge-Enhanced and Structure-Aware GAN for Remote Sensing Image Super-Resolution

Remote sensing (RS) images often suffer from spatial resolution degradation and edge blurring due to sensor limitations and complex degradation factors such as atmospheric turbulence and motion. These issues negatively impact subsequent tasks like classification and detection. Most existing super-re...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Yin Zhang, Songping Wei, Yu Sun, Jiaqi Shen, Zhen Yang, Junhua Yan
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2025-01-01
Цуврал:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Нөхцлүүд:	Degradation modeling edge enhancement module generative adversarial network (GAN) multiattention module remote sensing (RS) super-resolution (SR)
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11165376/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!