Road extraction from remote sensing imagery is essential for urban planning, traffic monitoring, and emergency response. However, existing methods often focus solely on spatial-domain features, ...

Efficient extraction of spectral-spatial features is essential for accurate hyperspectral image (HSI) classification, where capturing both local texture and global semantic relationships is critical.

Over the past few decades, a lot of details have been worked out in power distribution network design, simulation and measurement. We have well-established PDN design procedures both in the frequency ...