hylatis, ESIP 2018 Winter.pdf (2.1 MB)

A Functional Approach to Hyperspectral Image Analysis in the Cloud, Presented at the Winter 2018 ESIP Meeting

Download (2.1 MB)
poster
posted on 12.01.2018, 16:43 by Anne Wilson, Doug Lindholm, Odele Coddington, Peter Pilewski, Tom Baltzer, Chris Pankratz
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.

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.

Funding

NASA ROSES AIST-16-0138

History

Licence

Exports