Hyperspectral imager method and apparatus
AssigneeTechnological Resources Pty. Limited
InventorsRichard J. Murphy, Arman Melkumyan, Anna Chlingaryan, Dai Bang Nguyen, Stuart Wishart, Alex Lowe, Steven Scheding
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Abstract
A compact hyperspectral imager adapted to operate in harsh environments and to conduct post acquisition signal processing to provide automated and improved hyperspectral processing results is disclosed. The processing includes luminance and brightness processing of captured hyperspectral images, hyperspectral image classification and inverse rendering to produce luminance invariance image processing.
Claims8
A method of processing a series of hyperspectral images in order to classify its constituent parts, the method including the steps of:
- (a) deriving a non-stationary observation angle dependent probabilistic model having a series of parameters for the series of hyperspectral images;
- (b) training the series of probabilistic model parameters on mineral samples obtained from artificial light reflectance measurements;
- and
- (c) utilising the probabilistic model on hyperspectral imagery acquired from sampling geographical conditions under natural lighting conditions, to classify constituent parts of the hyperspectral imagery.
Dependencies are inferred from the claim text.