Remote Sensing Image Change Captioning

Remote sensing image change captioning aims to automatically generate natural language descriptions of differences between pairs of satellite images over time. Current research focuses on improving the accuracy and detail of these descriptions by leveraging advanced architectures like transformers and large language models, often incorporating techniques such as pixel-level change detection and multi-granularity instruction tuning to better guide the caption generation process. This field is significant for automating the analysis of large remote sensing datasets, enabling faster and more efficient monitoring of environmental changes, disaster response, and resource management.