Handbook of Geospatial Artificial Intelligence

5GeoAI for Spatial Image Processing

Samantha T. Arundel, Kevin G. McKeehan

U.S. Geological Survey, Center of Excellence for Geospatial Information Science

Wenwen Li, Zhining Gu

School of Geographical Sciences and Urban Planning, Arizona State University

DOI: 10.1201/9781003308423-5

CONTENTS

• 5.1 Introduction

  1. 5.1.1 Origins of image processing

  2. 5.1.2 (Digital) image processing in the spatial realm

  3. 5.1.3 Image processing in the AI realm

• 5.2 Image Processing in the GeoAI Domains

• 5.3 GeoAI-Specific Methods and Challenges

  1. 5.3.1 The challenge in training data annotation

  2. 5.3.2 The challenge of scale

  3. 5.3.3 The challenge of image resolution

  4. 5.3.4 The challenge of space and time

• 5.4 Future Research

  1. 5.4.1 Geometric Algebra

  2. 5.4.2 Ethical issues related ...