Human‐in‐the‐Loop Segmentation of Earth Surface Imagery

Human‐in‐the‐Loop Segmentation of Earth Surface Imagery

Abstract Segmentation, or the classification of pixels (grid cells) in imagery, is ubiquitously applied in the natural sciences. Manual methods are often prohibitively time‐consuming, especially those images consisting of small objects and/or significant spatial heterogeneity of colors or textures....

Full description

Bibliographic Details
Main Authors: D. Buscombe, E. B. Goldstein, C. R. Sherwood, C. Bodine, J. A. Brown, J. Favela, S. Fitzpatrick, C. J. Kranenburg, J. R. Over, A. C. Ritchie, J. A. Warrick, P. Wernette
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-03-01
Series:Earth and Space Science
Subjects:
machine learning
human‐in‐the‐loop machine learning
data labeling
Earth surface processes
gridded data
segmentation
Online Access:https://doi.org/10.1029/2021EA002085

Internet

https://doi.org/10.1029/2021EA002085

Similar Items