While analyzing remotely sensed images of urban areas, in many cases an at least approximate knowledge of its block boundaries is useful for specializing operations over areas, within which a certain degree of homogeneity can be assumed. In the case of use for emergency management, though, this information may not be accessible in a reasonable time or with a reasonable effort, while it would be useful as a basis for e.g. earthquake damage assessment at the block level [1]. Automatic extraction of block boundaries thus becomes an interesting tool to fill this possible gap. City blocks are usually separated by major urban roads, and a linear feature extractor, originally developed for road network extraction, can provide basic features upon which to partition a very high resolution SAR scene acquired over an urban area. After the first experiments described in [2], the method has been improved and new results produced on a series of COSMO/SkyMed images over geohazard-prone areas.

Urban block outlining in high-resolution SAR images based on detection of linear features

DELL'ACQUA, FABIO;POLLI, DIEGO ALDO
2011-01-01

Abstract

While analyzing remotely sensed images of urban areas, in many cases an at least approximate knowledge of its block boundaries is useful for specializing operations over areas, within which a certain degree of homogeneity can be assumed. In the case of use for emergency management, though, this information may not be accessible in a reasonable time or with a reasonable effort, while it would be useful as a basis for e.g. earthquake damage assessment at the block level [1]. Automatic extraction of block boundaries thus becomes an interesting tool to fill this possible gap. City blocks are usually separated by major urban roads, and a linear feature extractor, originally developed for road network extraction, can provide basic features upon which to partition a very high resolution SAR scene acquired over an urban area. After the first experiments described in [2], the method has been improved and new results produced on a series of COSMO/SkyMed images over geohazard-prone areas.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/429788
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact