Use of simulated neural networks of aerial image classification
Frances I. Medina, Ramon E. Vasquez · NASA Technical Reports Server (NASA) · 1991
The utility of one layer neural network in aerial image classification is examined. The network was trained with the delta rule. This method was shown to be useful as a classifier in aerial images with good resolution. It is fast, it is easy to implement, because it is distribution-free, nothing about statistical distribution of the data is needed, and it is very efficient as a boundary detector.