Systems and methods for detecting particles of interest using spectral analysis
US-2024027266-A1 · Jan 25, 2024 · US
US8948540B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8948540-B2 |
| Application number | US-201314090753-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 26, 2013 |
| Priority date | Apr 13, 2011 |
| Publication date | Feb 3, 2015 |
| Grant date | Feb 3, 2015 |
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A method for reducing dimensionality of hyperspectral images includes receiving a hyperspectral image having a plurality of pixels. The method may further include establishing an orthonormal basis vector set comprising a plurality of mutually orthogonal normalized members. Each of the mutually orthogonal normalized members may be associated with one of the plurality of pixels of the hyperspectral image. The method may further include decomposing the hyperspectral image into a reduced dimensionality image, utilizing calculations performed while establishing said orthonormal basis vector set. A system configured to perform the method may also be provided.
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What is claimed is: 1. A method of hyperspectral image dimension reduction, comprising: receiving a hyperspectral image having a plurality of pixels; iteratively establishing a basis vector (BV) set comprising an initial basis vector and individual spectral vectors from the plurality of pixels that have a residual magnitude over a threshold value when a spectral vector of a current iteration is unmixed by unconstrained unmixing with a prior iteration of the BV set, wherein the i…
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