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Home » Archives for Clay Spence

Clay Spence

SRI Author

  • Clay Spence

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Publication August 2, 2016

Analyzing hyperspectral images into multiple subspaces using Guassian mixture models

Clay Spence August 2, 2016

Abstract I argue that the spectra in a hyperspectral datacube will usually lie in several low dimensional subspaces, and that these subspaces are more easily estimated from the data than the endmembers. I present an algorithm for finding the subspaces. The algorithm fits the data with a Gaussian mixture model, in which the means andcovariance […]

Computer vision publications May 1, 2016 Conference Paper

Analyzing hyperspectral images into multiple subspaces using Gaussian mixture models

Clay Spence May 1, 2016

I argue that the spectra in a hyperspectral datacube will usually lie in several low-dimensional subspaces, and that these subspaces are more easily estimated from the data than the endmembers. I present an algorithm for finding the subspaces. The algorithm fits the data with a Gaussian mixture model, in which the means and covariance matrices are parameterized in terms of the subspaces. The locations of materials can be inferred from the fit of library spectra to the subspaces. The algorithm can be modified to perform  material detection. This has better performance than standard algorithms such as ACE, and runs in real time.

Computer vision publications May 1, 2016 Conference Paper

Pattern of life analysis for diverse data types

Clay Spence May 1, 2016

SRI has developed a system to automatically analyze the Pattern of Life (PoL) of ports, routes and vessels from a large collection of AIS data. The PoL of these entities are characterized by a set of intuitive and easy to query semantic attributes. The prototype system provides an interface to ingest other types of information such as WAAS (Wide Area Aerial Surveillance) and GDELT (Global Database of Events, Language, and Tone) to augment knowledge of the Area of Operations. It can interact with users by answering questions and simulating what-if scenarios to keep human in the processing loop.

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