Use of filter vectors in hyperspectral data analysis

Jeffrey H. Bowles; Peter J. Palmadesso; John A. Antoniades; Mark M. Baumback; Lee J. Rickard

doi:10.1117/12.221352

29 September 1995 Use of filter vectors in hyperspectral data analysis

Jeffrey H. Bowles, Peter J. Palmadesso, John A. Antoniades, Mark M. Baumback, Lee J. Rickard

Proceedings Volume 2553, Infrared Spaceborne Remote Sensing III; (1995) https://doi.org/10.1117/12.221352
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

We report recent progress using a filter vector technique to analyze the data from a hyperspectral image. The filter vector technique finds the optimal filter vectors for demixing the complex patterns found in the hyperspectral image. The method has the potential to be implemented in real time since it is fully parallel. Computation of the filter vectors for a given family of known species vectors is fast and direct and improved algorithms for developing of the algorithm which may be updated as conditions change is possible. Advantages of using the filter vector techniques over the technique of pattern matching will be discussed. The portable hyperspectral images for low light spectroscopy (PHILLS) instrument has been used on a number of depolyments in the last year. Typically, the instrument files on the Naval Research Laboratory's P-3 Orion aircraft. Currently, the PHILLS instrument records over 1000 wavelength bands between UV and near IR. Results from a number of deployment and test situations is shown.

Citation Download Citation

Jeffrey H. Bowles, Peter J. Palmadesso, John A. Antoniades, Mark M. Baumback, and Lee J. Rickard "Use of filter vectors in hyperspectral data analysis", Proc. SPIE 2553, Infrared Spaceborne Remote Sensing III, (29 September 1995); https://doi.org/10.1117/12.221352

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