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Rendering High-Resolution Space Data

INSTITUTION

Arizona State University (Tempe Campus)

CLASS

Cobalt Class (2019 – 2020)

STUDENT TEAM

Christian Herrera, Computer Science
Ryan Howe, Computer Science, Electrical Engineering (Double Major)
Brent Ottley, Computer Science (Software Engineering)
Stefan Savic, Computer Science (Software Engineering)
Jeremy Seay, Computer Science

SCIENTIFIC & TECHNICAL GUIDANCE

Ernest Cisneros, Psyche Science Data Center Manager, School of Earth and Space Exploration, ASU

ACADEMIC GUIDANCE

Dr. Ming Zhao, Associate Professor, ASU School of Computing, Informatics, and Decision Systems Engineering

PROJECT DESCRIPTION

In preparation for arrival at Psyche, Psyche team members seek to accelerate the rendering of Web Mapping Service data, to minimize lag when rendering hi-resolution datasets that have a large number (count) of images and/or those images are of a sufficiently high resolution (number of pixels). The capstone team is working to provide a solution that includes unit tests for new functionality as well as documentation outlining the implementation provided.