Cargando…
Benchmarking Human Performance for Visual Search of Aerial Images
Aerial images are frequently used in geospatial analysis to inform responses to crises and disasters but can pose unique challenges for visual search when they contain low resolution, degraded information about color, and small object sizes. Aerial image analysis is often performed by humans, but ma...
Autores principales: | Rhodes, Rebecca E., Cowley, Hannah P., Huang, Jay G., Gray-Roncal, William, Wester, Brock A., Drenkow, Nathan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713551/ https://www.ncbi.nlm.nih.gov/pubmed/34970183 http://dx.doi.org/10.3389/fpsyg.2021.733021 |
Ejemplares similares
-
A framework for rigorous evaluation of human performance in human and machine learning comparison studies
por: Cowley, Hannah P., et al.
Publicado: (2022) -
Author Correction: A framework for rigorous evaluation of human performance in human and machine learning comparison studies
por: Cowley, Hannah P., et al.
Publicado: (2022) -
A substrate for modular, extensible data-visualization
por: Matelsky, Jordan K., et al.
Publicado: (2020) -
Benchmarking Deep Trackers on Aerial Videos
por: Taufique, Abu Md Niamul, et al.
Publicado: (2020) -
DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries
por: Matelsky, Jordan K., et al.
Publicado: (2021)