While analysing remotely sensed images of urban areas, in many cases an at least approximate knowledge of block partition is useful for specialising 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 becomes thus 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. [1] Dell'Acqua, F., Polli, D., Lisini, G. (2010). “ Automatic Mapping of Earthquake Damage using Post-event Radar Satellite Data: The Story Goes On”. Proceeding of the 30th EARSeL Symposium, Paris, France, 31th May - 4th June 2010. [2] Fabio Dell'Acqua, Paolo Gamba, Luca Odasso, Gianni Lisini (2009): "Segment-based urban block outlining in High-Resolution SAR images". Proc. of the 2009 Joint Urban Remote Sensing Event (JURSE 2009), 20-22 May 2009, Shanghai, P.R.C. Unformatted CD-ROM

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 analysing remotely sensed images of urban areas, in many cases an at least approximate knowledge of block partition is useful for specialising 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 becomes thus 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. [1] Dell'Acqua, F., Polli, D., Lisini, G. (2010). “ Automatic Mapping of Earthquake Damage using Post-event Radar Satellite Data: The Story Goes On”. Proceeding of the 30th EARSeL Symposium, Paris, France, 31th May - 4th June 2010. [2] Fabio Dell'Acqua, Paolo Gamba, Luca Odasso, Gianni Lisini (2009): "Segment-based urban block outlining in High-Resolution SAR images". Proc. of the 2009 Joint Urban Remote Sensing Event (JURSE 2009), 20-22 May 2009, Shanghai, P.R.C. Unformatted CD-ROM
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/240089
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