A user-friendly automatic tool for image classification based on neural networks

B. Buttarazzi, F. Del Frate, C. Solimini

Abstract

In this paper the implementation and the functionality of software created on the basis of neural networks technology is explained. The program developed allows the user to read an image, to create and to train a neural network, and finally, to classify the entire image. Using the implemented software it is possible to develop a unique program which processes efficiently all the data. Actually, one of the thematic principals of this material is the classification of satellite images. Given that an image acquired by the satellite could be composed by different bands not visible to the naked eye (and therefore not interpretable), an automatic program, automatically trained, is the ideal method to study the various of information contained in it.

INTERNATIONAL SOCIETY OF PHOTOGRAMMETRY AND REMOTE SENSING

Proceedings of the ISPRS joint conference
3rd International Symposium Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005)

5th International Symposium Remote Sensing of Urban Areas (URS 2005)

Tempe, AZ, USA, March 14-16 2005

Editors: M. Moeller, E. Wentz

International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences
VOLUME XXXVI, PART 8/W27
ISSN 1682-1777

© 2005 the authors