Use of simulated neural networks of aerial image classificationThe 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.
Document ID
19920056755
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Medina, Frances I. (NASA Headquarters Washington, DC United States)
Vasquez, Ramon (Universidad de Puerto Rico Mayaguez, United States)