Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG
SummaryIntroduce ImageRAG for RS, a training-free framework to address the complexities of analyzing UHR remote sensing imagery.The high spatial resolution results in massive image sizes (e.g. 100, 000 × 100,000 pixels), making it difficult to directly train neural networks with such images due to the limitation in GPU memory.Introduction or MotivationThe model’s limitations in handling fine det..