Satellite Imagery refers to visual or multispectral data captured by Earth-observing satellites and used to monitor, analyze, and model surface conditions at scale. It supports applications in environmental monitoring, urban planning, disaster response, agriculture, and defense. In AI research, satellite imagery is used to develop and evaluate models for object detection, semantic segmentation, change detection, and geospatial analysis, often under conditions of limited resolution, cloud cover, and sparse ground-truth annotations.

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Open SAT: How We Taught AI to Search Satellite Images Like a Search Engine

Satellite imagery is vast, high-resolution, and rich with information, but finding specific objects within it using natural language has remained a stubborn challenge. Open-SAT, developed by researchers at NEC Laboratories America and North South University, tackles this problem without retraining any models.