Title | ||
---|---|---|
Towards Fully Automatic Generation Of Land Cover Maps From Polarimetric And Metric-Resolution Sar Data |
Abstract | ||
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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 Pratola | 1 | 34 | 6.02 |
Marco Del Greco | 2 | 6 | 1.35 |
Fabio Del Frate | 3 | 508 | 72.43 |
Giovanni Schiavon | 4 | 123 | 24.55 |
Domenico Solimini | 5 | 65 | 15.10 |