This paper presents an approach to the detection of changed buildings using multitemporal Very High Resolution (VHR) Synthetic Aperture Radar (SAR) images. The proposed approach is based on two concepts i) the extraction of information on changes associated with increase and decrease of backscattering at the optimal building scale; and ii) the exploitation of the expected backscattering proprieties of buildings to detect new and fully destroyed buildings with their grade of reliability. Experimental results obtained on a dataset made up of two COSMO-SkyMed (CSK©) spotlight images acquired in 2009 over the city of L'Aquila (Italy) before and after an earthquake demonstrated that the proposed approach allows an effective identification of destroyed buildings. © 2013 IEEE.

Detection of changed buildings in multitemporal Very High Resolution SAR images

Marin, Carlo;Bovolo, Francesca;Bruzzone, Lorenzo
2013-01-01

Abstract

This paper presents an approach to the detection of changed buildings using multitemporal Very High Resolution (VHR) Synthetic Aperture Radar (SAR) images. The proposed approach is based on two concepts i) the extraction of information on changes associated with increase and decrease of backscattering at the optimal building scale; and ii) the exploitation of the expected backscattering proprieties of buildings to detect new and fully destroyed buildings with their grade of reliability. Experimental results obtained on a dataset made up of two COSMO-SkyMed (CSK©) spotlight images acquired in 2009 over the city of L'Aquila (Italy) before and after an earthquake demonstrated that the proposed approach allows an effective identification of destroyed buildings. © 2013 IEEE.
2013
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS
Melbourne
IEEE
9781479911141
Marin, Carlo; Bovolo, Francesca; Bruzzone, Lorenzo
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/11572/67760
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
  • OpenAlex ND
social impact