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Issue No. 04 - July/August (2012 vol. 14)
ISSN: 1521-9615
pp: 92-97
Thomas Doggett , Northern Virginia Community College
Nargess Memarsadeghi , NASA Goddard Space Flight Center
ABSTRACT
This case study shows how remotely sensed hyperspectral data of NASA's Earth Observing-1 satellite are processed to detect features such as ice, water, and snow on Earth.
INDEX TERMS
Classification algorithms, Remote sensing, Earth, Clustering algorithms, Change detection algorithms, Hyperspectral sensors, Earth Observing-1, Classification algorithms, Remote sensing, Earth, Clustering algorithms, Change detection algorithms, Hyperspectral sensors, classification, remote sensing, hyperspectral data processing
CITATION
Thomas Doggett, Nargess Memarsadeghi, "NASA Computational Case Study, Hyperspectral Data Processing: Cryospheric Change Detection", Computing in Science & Engineering, vol. 14, no. , pp. 92-97, July/August 2012, doi:10.1109/MCSE.2012.43
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