Application of Mathematical Morphology to automatically extract roads on radar images

Author

Laneve, Giovanni ; Santilli, Giancarlo ; Cadau, Enrico

Author_Institution

Centro di Ricerca Progetto San Marco, Univ. Degli Studi di Roma La Sapienza, Rome, Italy

fYear

2009

fDate

20-22 May 2009

Firstpage

1

Lastpage

5

Abstract

The new constellation of remote sensing satellite COSMO/SkyMed will guarantee a combination of spatial and temporal resolution never reached by previously systems. The full exploitation of this system can allow the development of new applications, like these aiming at providing insight into the magnitude of a disaster and a detailed assessment of the damages as required by first responders for planning relief actions.

Keywords

disasters; geophysical techniques; image segmentation; remote sensing by radar; roads; ASI; COSMO-SkyMed; COnstellation of small Satellites for the Mediterranean basin Observation; EU funded Network of Excellence; GMOSS; Global Monitoring for Stability and Security; Italian Space Agency; Lake Maracaibo; NoE; South America; Venezuela; complex road imaging; damage assessment; disaster assessment; image mosaicing; mathematical morphology technique; nuclear plant structure imaging; radar image; refugee camp imaging; remote sensing satellite; road feature extraction; spatial resolution; temporal resolution; Laser radar; Monitoring; Morphology; Radar applications; Radar imaging; Roads; Satellites; Shape; Spaceborne radar; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Event, 2009 Joint

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3460-2

Electronic_ISBN

978-1-4244-3461-9

Type

conf

DOI

10.1109/URS.2009.5137732

Filename

5137732