Title :
Multisensor image classification by structured neural networks
Author :
Roli, F. ; Serpico, S.B. ; Vernazza, G.
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Abstract :
The application of structured neural networks to the supervised classification of multisensor images is discussed. The purpose is to give a criterion for network architecture definition and to allow the interpretation of the network behavior. The latter result can be used to understand the importance of sensors and related channels to the classification task. The networks´ architecture is configured by exploiting the characteristics of a given multisensor classification problem. Then, such networks are trained to solve the problem. Finally, they are transformed into equivalent networks to obtain a simplified representation
Keywords :
image classification; neural nets; sensor fusion; multisensor image classification; structured neural networks; supervised classification; Artificial neural networks; Backpropagation algorithms; Data mining; Electronic mail; Image classification; Image sensors; Layout; Neural networks; Sensor phenomena and characterization; Statistical analysis;
Conference_Titel :
Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
Conference_Location :
Linthicum Heights, MD
Print_ISBN :
0-7803-0928-6
DOI :
10.1109/NNSP.1993.471857
