GeoAI for spatial image processing

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The development of digital image processing, as a subset of digital signal processing, depended upon the maturity of photography and image science, introduction of computers, discovery and advancement of digital recording devices, and the capture of digital images. In addition, government and industry applications in the Earth and medical sciences were paramount to the growth of the technology. From the early days when photography was first introduced to science to today, artificial intelligence and deep learning technologies have been intensively used to analyze imagery. Spatial image processing has experienced breakthroughs and evolutions. This chapter presents an overview of the history of image processing, GeoAI-based image processing applications, and the role of GeoAI in advancing image processing methods and research. We also discussed the remaining challenges to using GeoAI for image processing regarding training data annotation, the issues of scale, resolution, and change in space over time.

Publication type Book chapter
Publication Subtype Book Chapter
Title GeoAI for spatial image processing
DOI 10.1201/9781003308423-5
Edition 1
Year Published 2023
Language English
Publisher CRC Press
Contributing office(s) Center for Geospatial Information Science (CEGIS)
Description 24 p.
Larger Work Type Book
Larger Work Subtype Handbook
Larger Work Title Handbook of Geospatial Artificial Intelligence
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