Target detection in hyperspectral imagery using demixed spectral angles

David Gillis; Jeffrey Bowles

doi:10.1117/12.510835

5 February 2004 Target detection in hyperspectral imagery using demixed spectral angles

David Gillis, Jeffrey Bowles

Proceedings Volume 5238, Image and Signal Processing for Remote Sensing IX; (2004) https://doi.org/10.1117/12.510835
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

We present a modification to the Spectral Angle Mapper (SAM) to perform mixed pixel target detection in hyperspectral imagery. Our method uses the linear mixing model to define a new set of coordinates using endmember spectra. We show that spectral angles measured in this new coordinate system differ from those measured in full band space, and that there is a natural interpretation of angles involving mixed pixels in these new coordinates. We include experimental evidence that our method outperforms traditional SAM in cases involving both subpixel and shaded target situations.

Citation Download Citation

David Gillis and Jeffrey Bowles "Target detection in hyperspectral imagery using demixed spectral angles", Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); https://doi.org/10.1117/12.510835

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