Concepedia

Concept

geospatial computer vision

Parents

78

Publications

4.1K

Citations

294

Authors

155

Institutions

About

Geospatial computer vision is a specialized research domain that integrates computer vision methodologies with geospatial science to analyze and interpret imagery and other spatially-referenced data of the Earth's surface. It aims to automate the extraction of geographic information, monitor environmental dynamics, and understand spatial patterns through techniques like image processing, pattern recognition, and deep learning, leveraging spatial context for enhanced scene understanding and actionable insights regarding the terrestrial environment.

Top Authors

Rankings shown are based on concept H-Index.

MF

University of California, Santa Barbara

YH

University at Buffalo, State University of New York

WL

Arizona State University

SG

University of Wisconsin–Madison

MR

ETH Zurich

Top Institutions

Rankings shown are based on concept H-Index.

University of California, Santa Barbara

Santa Barbara, United States

Arizona State University

Tempe, United States

Oak Ridge National Laboratory

Oak Ridge, United States