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8 November 2002 Using endmembers as a coordinate system in hyperspectral imagery
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The linear mixing model (LMM) is a well-known and useful method for decomposing spectra in a hyperspectral image into the sum of their constituents, or endmembers. Mathematically, if the spectra are represented as n-dimensional vectors, then the LMM implies that the set of endmembers defines a basis or coordinate system for the set of spectra. Because the endmembers themselves are generally not orthogonal, the geometry (distances, difference angles, etc.) is changed by moving from band space to endmember space. We explore some of the differences between the two coordinate systems, and show in particular that the difference in angle measurements leads to an improved method for subpixel target detection.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Gillis, Jeffrey H. Bowles, and Michael E. Winter "Using endmembers as a coordinate system in hyperspectral imagery", Proc. SPIE 4816, Imaging Spectrometry VIII, (8 November 2002);

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