“Optical remote sensing images commonly suffer from cloud pollution. A Transformer based joint detection model TTFormer for thick and thin clouds has been proposed, which enhances the multi-scale feature expression ability by integrating local global feature modulation modules, effectively distinguishing between thick and thin clouds, and achieving higher detection accuracy than the existing six typical methods.”