Multispectral remote sensing of minerals using neural networks

Details Multispectral remote sensing of minerals using neural networks Multispectral remote sensing of minerals using neural networks

G - Physics

06

F

354/29

G06F 15/20 (1990.01)

Patent

CA 2012702

-7- ABSTRACT OF THE DISCLOSURE A method of remote sensing of minerals using neural networks to process data recorded on tape from an overflying aircraft. Vector quantization applies self-organizing feature maps to the clustering of spectral data from remotely sensed images. Normalized values of wavelengths of the spectral data are applied to a two-layer Kohonen self-organized feature map for a preselected number of classes of minerals.

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