Towards fully automatic generation of land cover maps from polarimetric and metric-resolution SAR data

Author

Pratola, C. ; Greco, M. Del ; Frate, F. Del ; Schiavon, G. ; Solimini, D.

Author_Institution

EOLab, Tor Vergata Univ., Rome, Italy

fYear

2010

fDate

25-30 July 2010

Firstpage

3102

Lastpage

3105

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.

Keywords

geophysical image processing; neural nets; radar polarimetry; synthetic aperture radar; terrain mapping; SAR images; information mining; land cover classification; land cover maps; polarimetric information; pulse-coupled neural networks; self organizing map method; Artificial neural networks; Buildings; Classification algorithms; Data mining; Pixel; Remote sensing; Scattering; Neural Networks; SAR; information mining; land cover; polarimetry; very high resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5654038

Filename

5654038

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3374837