Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models

arXiv:2403.02059v1 Announce Type: new
Abstract: Image retrieval enables an efficient search through vast amounts of satellite imagery and returns similar images to a query. Deep learning models can identify images across various semantic concepts without the need for annotations. This work proposes to use Geospatial Foundation Models, like Prithvi, for remote sensing image retrieval with multiple benefits: i) the models encode multi-spectral satellite data and ii) generalize without further fine-tuning. We introduce two datasets to the retrieval task and observe …

arxiv cs.cv foundation geospatial image retrieval sensing type