MULTISPECTRAL REMOTE SENSING OF MINERALS USING NEURAL NETWORKS

摘要

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.