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Method for classifying a pixel of a hyperspectral image in a remote sensing application

  • US 9,019,358 B2
  • Filed: 02/08/2011
  • Issued: 04/28/2015
  • Est. Priority Date: 02/08/2011
  • Status: Active Grant
First Claim
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1. A method for identifying a target object in a hyperspectral image, the method comprising:

  • capturing different spectral planes of an image using a hyperspectral camera having a multi-filter grid, the multi-filter grid comprising a plurality of filters, each filter being tuned to a respective band comprising a respective specified wavelength of the electromagnetic spectrum, each respective band corresponding to a respective spectral plane;

    constructing a hyperspectral image data cube comprising a plurality of 2-dimensional arrays of pixels, each 2-dimensional array comprising respective intensity values for each pixel of a respective band corresponding to a respective spectral plane; and

    for each pixel location in said hyperspectral image data cube;

    constructing at least one multi-dimensional vector comprising intensity values of at least one pixel from across at least a portion of said spectral planes, each dimension of said vectors corresponding to a respective intensity of a respective spectral plane;

    calculating a magnitude of said pixel'"'"'s multi-dimensional vector;

    comparing said magnitude to a corresponding magnitude calculated for a reference vector predetermined for an identified known sample;

    determining whether said pixel belongs to said known sample based upon a determination by said comparing that said magnitude is within a threshold value of said corresponding magnitude calculated for said reference vector; and

    classifying said pixel based upon said determination.

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