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

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.