Geospatial Artificial Intelligence (GeoAI)

地理空間人工智能技術

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Focus Areas

Remote Sensing

The process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted raidation at a distance.

Photogrammetry

The science and technology of obtaining reliable information about physical objects and the environment through photographic images.

Laser Scanning

A technology which uses laser beams to measure and capture environments in three dimentions with speed and accuracy.

Geoinformatics

The science and technology which uses information science to address the problems of geosciences and related branches.

Navigation and Positioning

The ability to determine current and desired position and apply corrections to attain a desired position anywhere around the world.

Surveying and Geodesy

The representations of large portions of the Earth’s surface and smaller portions where the effect of the Earth’s curvature can be ignored.

Ground-Based Sensors

The utilization of a variety of geophysical survey techniques to “see” beneath the surface of the soil, providing a map of the underlying features.

Geospatial AI

The combination of innovations in spatial science, high-performance computing, and AI methods to extract knowledge from spatial big data.

Geospatial Big Data

Spatial data sets exceeds the capacity of traditional computing systems. They have always been big data and their size is growing rapidly.

Geospatial CV

An interdisciplinary field of AI that trains computers to interpret geospatial photographies and videos.