Self-Organizing-Map Program for Analyzing Multivariate Data

Li, P. Peggy; Jacob, Joseph C.; Block, Gary L.; Braverman, Amy J.

SOM_VIS is a computer program for analysis and display of multidimensional sets of Earth-image data typified by the data acquired by the Multi-angle Imaging Spectro-Radiometer [MISR (a spaceborne instrument)]. In SOM_VIS, an enhanced self-organizing-map (SOM) algorithm is first used to project a multidimensional set of data into a nonuniform three-dimensional lattice structure. The lattice structure is mapped to a color space to obtain a color map for an image. The Voronoi cell-refinement algorithm is used to map the SOM lattice structure to various levels of color resolution. The final result is a false-color image in which similar colors represent similar characteristics across all its data dimensions. SOM_VIS provides a control panel for selection of a subset of suitably preprocessed MISR radiance data, and a control panel for choosing parameters to run SOM training. SOM_VIS also includes a component for displaying the false-color SOM image, a color map for the trained SOM lattice, a plot showing an original input vector in 36 dimensions of a selected pixel from the SOM image, the SOM vector that represents the input vector, and the Euclidean distance between the two vectors.

Document ID

20110016444

Acquisition Source

Jet Propulsion Laboratory

Document Type

Other - NASA Tech Brief

External Source(s)

http://www.techbriefs.com/component/content/article/467

Authors

Date Acquired

August 25, 2013

Publication Date

December 1, 2005

Publication Information

Publication: NASA Tech Briefs, December 2005

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Report/Patent Number

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Public

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