DGTRSD & DGTRS-CLIP: A Dual-Granularity Remote Sensing Image-Text Dataset and Vision Language Foundation Model for Alignment

The introduction of the DGTRSD and DGTRS-CLIP datasets marks a significant advancement in the field of remote sensing and vision language models. By addressing the limitations of existing models that struggle with longer text captions, these new resources provide a more comprehensive way to align remote sensing images with detailed descriptions. This development is crucial as it enhances the semantic understanding of remote sensing data, paving the way for more accurate interpretations and applications in various fields such as environmental monitoring and urban planning.