Optimized orthonormal system and method for reducing dimensionality of hyperspectral images

摘要

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.

主权项

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 initial basis vector is a spectral vector of a pixel selected from the plurality of pixels, and wherein the basis vector set comprises at least one non-endmember; for each of the plurality of pixels:
reading a spectral vector from the pixel; anddecomposing, by unconstrained unmixing, the spectral vector with the established BV set including the at least one non-endmember to provide a reduced dimension vector for the pixel; and providing a dimension reduced image comprising the reduced dimension vectors for each pixel.