10.6084/m9.figshare.5782071.v1
Anne Wilson
Anne
Wilson
Doug Lindholm
Doug
Lindholm
Odele Coddington
Odele
Coddington
Peter Pilewski
Peter
Pilewski
Tom Baltzer
Tom
Baltzer
Chris Pankratz
Chris
Pankratz
A Functional Approach to Hyperspectral Image Analysis in the Cloud, Presented at the Winter 2018 ESIP Meeting
ESIP
2018
esip winter 2018
Applied Computer Science
Coding and Information Theory
Computer Software
Interorganisational Information Systems and Web Services
Mathematical Software
Organisation of Information and Knowledge Resources
Web Technologies (excl. Web Search)
Instrumentation, Techniques, and Astronomical Observations
Climate Change Processes
Climate Science
Earth Sciences not elsewhere classified
Landscape Ecology
Environmental Monitoring
Ecosystem Function
Atmospheric Sciences
2018-01-12 16:43:55
Poster
https://esip.figshare.com/articles/poster/A_Functional_Approach_to_Hyperspectral_Image_Analysis_in_the_Cloud_Presented_at_the_Winter_2018_ESIP_Meeting/5782071
The Hylatis project is building a tool set for hyperspectral image analysis in the cloud. Hyperspectral imagery is used across a broad range earth sciences.<div><br></div><div>In particular, we explore representing datasets as scientific domain agnostic, algebraic functions. Leveraging functional programming, this approach eases data interoperability problems, and provides ease of parallelization and proving code correctness.</div>