Title
Towards Fully Automatic Generation Of Land Cover Maps From Polarimetric And Metric-Resolution Sar Data
Abstract
Information mining from heavy SAR images is considered from the point of view of the procedure automatization. Two schemes based on Neural Networks are evaluated, one based on the Self Organizing Map method exploiting polarimetric information and oriented to land cover classification, the other based on the Pulse-Coupled Neural Networks aiming at characterizing the imaged buildings.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5654038
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
Keywords
Field
DocType
SAR, information mining, Neural Networks, polarimetry, land cover, very high resolution
Terrain mapping,Computer vision,Polarimetry,Computer science,Synthetic aperture radar,Remote sensing,Information mining,Artificial intelligence,Pixel,Artificial neural network,Statistical classification,Land cover
Conference
Citations 
PageRank 
References 
2
0.41
5
Authors
5
Name
Order
Citations
PageRank
Chiara Pratola1346.02
Marco Del Greco261.35
Fabio Del Frate350872.43
Giovanni Schiavon412324.55
Domenico Solimini56515.10