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Supervised
and Unsupervised Neural Networks have considerable potential as classifiers of remotely sensed data. Our group develops
and applies statistical and neural tecniques for
analysis of multi-sources and multi-temporal
remotely sensed data. Strategies based
on Self-Organized Maps, Support Vector Machines, MLP, etc has been used for
land cover classification and discrimination. Multi-spectral images, at
different spatial resolution has been used (ASTER, IKONOS, LANDSAT, SPOT),
and some works are in progress with Hyper-spectral images. The archeological area near Paestum
has been analized in
collaboration with Dipartimento di Beni Culturali,
and the urban area near Salerno
and Sele has been studied for environment
factor analysis.
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Ferdinando Giacco, Silvia Scarpetta,
Luca Pugliese, Maria Marinaro
and Christian Thiel Application
of Self Organizing Maps to multi-resolution and multi-spectral remote
sensed images
Proceedings of WIRN 2008
pdf
Christian Thiel, Ferdinando
Giacco, Friedhelm Schwenker and Gunther Palm Comparison of
neural classifcation algorithms applied to land
cover mapping, Proceedings
of WIRN 2008 pdf
L. Pugliese, S. Scarpetta, F. Giacco
" An
application of the Self Organizing Map algorithm to computer aided
classification of Aster Multispectral data"
Rivista italiana di Telerilevamento - 2008, 40: 123-129
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F. Giacco, M. Marinaro,
S. Scarpetta, L. Pugliese
" Neural nets classification techniques
for the tutelage of cultural and natural resources "
Proceedings of the 27th International EARSeL Simposyum "Geoinformation in Europe"
- Bolzano 4 – 7 giugno 2007, M. Gomarasca (Editor), Millpress
Science Publishers , Rotterdam, Netherlands PDF
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Anna Esposito,
Antonietta M. Esposito, Flora Giudicepietro,
Maria Marinaro and Silvia Scarpetta Models for Identifying Structures in the Data: A
Performance Comparison Lecture Notes in
Computer Science Volume
4694 pages
275-283, 2007
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L. Pugliese, S. Scarpetta,
A. Esposito, M. Marinaro
"An Application of Neural and
Probabilistic Unsupervised Methods to Environmental Factor Analysis of
Multi-spectral Images" Lecture Notes on Computer Sciences 3617, pp. 1190 – 1197, Springer-Verlag
Berlin Heidelberg 2005 PDF
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A. Pontrandolfo, A. Santoriello,
L. Sirangelo, F.U. Scelza,
M. Marinaro, L. Pugliese,
S. Scarpetta, A. Esposito
" Integrated Technologies for the Reconstruction of the Ancient
Landscape of Poseidonia-Paestum "
S. Campana and M. Forte
(Eds.), Proceedings of the Conference: From Space to Place, 2nd
International Conference on Remote Sensing in Archaeology, published in
the British Archaeological Report (BAR) International Series , n.1568
(2006), pp. 475 - 479
– Published by ArchaeoPress,
Oxford , England
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L. Pugliese, S. Scarpetta,
M. Marinaro
" Environmental Factor Analysis of Ikonos Multi Spectral Satellite Images in the Paestum
Area in Italy
using Neural Maps." CISI 2006 proceedings in CD
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