Research on strip noise removal in remote sensing images based on frequency-spatial collaborative networks
Stripe noise in remote sensing images, caused by inconsistent detector responses in push-broom sensors, severely degrades radiometric quality and downstream applications. Existing deep learning methods predominantly rely on wavelet transforms or generic convolutional networks, suffering from large parameter counts, slo...