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Bridging Remote Sensors with Multisensor Geospatial Foundation Models
April 2, 2024, 7:44 p.m. | Boran Han, Shuai Zhang, Xingjian Shi, Markus Reichstein
cs.LG updates on arXiv.org arxiv.org
Abstract: In the realm of geospatial analysis, the diversity of remote sensors, encompassing both optical and microwave technologies, offers a wealth of distinct observational capabilities. Recognizing this, we present msGFM, a multisensor geospatial foundation model that effectively unifies data from four key sensor modalities. This integration spans an expansive dataset of two million multisensor images. msGFM is uniquely adept at handling both paired and unpaired sensor data. For data originating from identical geolocations, our model employs …
abstract analysis arxiv capabilities cs.ai cs.cv cs.lg data diversity foundation foundation model geospatial geospatial analysis integration key optical realm sensor sensors technologies type wealth
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