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Spectral Matching using Bitmap Indices of Spectral Derivatives for the Analysis of Hyperspectral Imagery

Kim, Rhae Sung

Abstract Details

2011, Master of Science, Ohio State University, Geodetic Science and Surveying.
Hyperspectral imaging data, such as that recorded by AVIRIS, provides rich information on ground cover materials but seriously complicates their use for classification due to the large number of spectral bands. A rapid and feasible spectral matching and mapping algorithm is always desirable, and it is a practical necessity to improve the processing speed and reduce memory requirements for analysis. In this thesis, the spectral derivative has been used to develop a spectral matching algorithm for the analysis of hyperspectral imaging data, providing surface mineralogical information using the spectral shape. Particularly, our spectral matching and mapping algorithm is based on each pixel in an image and uses whole, spectrally contiguous spectra without any spectral bands loss. Moreover, unsupervised direct spectral matching between unknown observed spectra and reference library spectra is made possible by analyzing the spectral derivative. To develop a fast and efficient spectral matching and mapping algorithm, a new bitmap indexing method is proposed, and a simple bitwise operation is applied in order to find the spectral similarity. Bitmap indexing of spectral derivatives can reduce the large volume of hyperspectral imaging data and enables fast library searching. Therefore, a decrease in the time which is desired for overall data processing is achieved. AVIRIS data acquired in 1995 over the Cuprite(NV, USA) mining area is used to demonstrate the developed algorithm and, when compared with two reference mineral maps, a satisfactory and reliable mineral mapping result is generated.
Alper Yilmaz (Advisor)
Alan Saalfeld (Committee Member)
97 p.

Recommended Citations

Citations

  • Kim, R. S. (2011). Spectral Matching using Bitmap Indices of Spectral Derivatives for the Analysis of Hyperspectral Imagery [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293667753

    APA Style (7th edition)

  • Kim, Rhae Sung. Spectral Matching using Bitmap Indices of Spectral Derivatives for the Analysis of Hyperspectral Imagery. 2011. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1293667753.

    MLA Style (8th edition)

  • Kim, Rhae Sung. "Spectral Matching using Bitmap Indices of Spectral Derivatives for the Analysis of Hyperspectral Imagery." Master's thesis, Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293667753

    Chicago Manual of Style (17th edition)