3 accepted papers
Remote sensing pansharpening aims to reconstruct spatial-spectral properties during the fusion of panchromatic (PAN) images and low- resolution multi-spectral (LR-MS) images, finally generating the high-resolution multi-spectral (HR- MS) images. In the mainstream modeling strategies, i.e., CNN and T…
Multi-modal large language models (MLLMs) have achieved remarkable capabilities by integrating visual perception with language understanding, enabling applications such as image-grounded dialogue, visual question answering, and scientific analysis. However, most MLLMs adopt a static inference paradi…
Pansharpening aims to fuse the panchromatic (PAN) and low-resolution multispectral (LR-MS) images, finally generating the high-resolution multispectral (HR-MS) images by reconstructing the spatial-spectral properties. Recently, VMamba-based methods built upon the visual state space (VSS) have shown…