Application of Artificial Neural Network to the Classification of land Cover

A method for land cover classification of aircraft image using an artificial neural network was developed.Inputs to the neural network are means,standard deviations,and average values of Fouriet spectra calculated from a selected pixel window.Outputs from the network ate indices which represent unique land cover types.Knowing these indices,unknown land covers can be located by comparing an index of unknown land cover to that of the known land cover.