Remote sensing image super-resolution aims to recover high-frequency details from low-resolution images. However, when processing complex terrains and tiny objects, existing methods often struggle with insufficient detail recovery, structural distortion, and limited generalization. Although diffusion models possess p...
Xu-Ke Cao, Hua-Ping Zhang, Guo-Tong Geng et al.· Measurement science and tech...· 0 citations
With the rapid development of high-resolution remote sensing platforms and the growing demand for intelligent Earth observation, remote sensing image semantic segmentation has become a key technology for road extraction, urban–rural planning, disaster monitoring, and ecological assessment. However, complex remote sensi...
Zi-Zhi Yuan, Quan-Nian Zhang, Guo-Tong Geng et al.· IEEE Journal of Selected Top...· 0 citations
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