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

摘要

What is disclosed is a novel system and method for simultaneous spectral decomposition suitable for image object identification and categorization for scenes and objects under analysis. The present system captures different spectral planes simultaneously using a Fabry-Perot multi-filter grid each tuned to a specific wavelength. A method for classifying pixels in the captured image is provided. The present system and method finds its uses in a wide array of applications such as, for example, occupancy detection in a transportation management system and in medical imaging and diagnosis for healthcare management. The teachings hereof further find their uses in other applications where there is a need to capture a two dimensional view of a scene and decompose the scene into its spectral bands such that objects in the image can be appropriately identified.

主权项

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; andclassifying said pixel based upon said determination.