Fabio Dell'Acqua

Publications (93) View all

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  Available from: Fabio Dell'Acqua

  Article: Earthquake Damages Rapid Mapping by Satellite Remote Sensing Data: L'Aquila April 6th, 2009 Event

  F. Dell'Acqua, C. Bignami, M. Chini, G. Lisini, D.A. Polli, S. Stramondo
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  ABSTRACT: Destructive earthquakes challenge Earth Observation (EO) systems to demonstrate their usefulness in supporting intervention and relief actions. The use of EO data in a disaster context has been widely investigated from a theoretical point of view, but only recently the developed methods seem to have reached near to the operational use. In this paper a case study on the April 6th, 2009 earthquake ( M _w = 6.3) event, which stroke L'Aquila, Italy, is presented and commented. Although damage to the city was not extremely extensive, the case is interesting because it was handled by the authors in a real-time, emergency context. A new data fusion approach, between SAR and optical data, has been proposed. It shows that optical data are more suitable to distinguish between damage and non-damage classes, while SAR textures features allow to better distinguishing different classes of damages at block scale such as low and heavy damage.
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 01/2012; · 1.49 Impact Factor
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  Available from: Fabio Dell'Acqua

  Article: Geographic information system (GIS)-aided per-segment scene analysis of multitemporal spaceborne synthetic aperture radar (SAR) series with application to urban areas

  G. Trianni, F. Dell'Acqua, P. Gamba
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  ABSTRACT: It is well known that multi-temporal series of synthetic aperture radar (SAR) data are able to provide interesting clues about temporal evolution of some land covers. In this work, a per-segment approach based on the use of ancillary geographic information system data is proposed. The results of a test case show the effectiveness of the technique and its usefulness for quickly detecting changes from rural to urban land uses and discriminating to some extent different urban dynamics.
  International Journal of Remote Sensing 11/2010; 31(22):6005-6014. · 1.12 Impact Factor
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  Available from: Fabio Dell'Acqua

  Conference Proceeding: Mapping earthquake damage in VHR radar images of human settlements: Preliminary results on the 6th April 2009, Italy case

  F. Dell'Acqua, P. Gamba, D. Polli
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  ABSTRACT: Automated earthquake damage assessment from post-event only remotely sensed data is highly desirable, especially when new generation, Very High Resolution (VHR) spaceborne data is concerned, lacking extensive pre-event archives. Though, most damage assessment method either rely on human interpretation or on pre-post-event comparison. In this paper we illustrate some possible tracks for investigating damage assessment on post-event only data, focusing on the 6^th April 2009 Abruzzi, Italy earthquake and on related COSMO/SkyMed acquisitions.
  Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International; 08/2010
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  Available from: Fabio Dell'Acqua

  Article: Eigenmethod for Feature Matching of Pre- and Postevent Images Exploiting Adjacency

  M. Manfredi, M. Aldrighi, F. Dell'Acqua
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  ABSTRACT: With the continuing increase in the number of images collected everyday from different sensors, the automated registration of multisensor/multispectral images has become a very important issue. This is particularly true when pre- and postevent image comparison is concerned: For this particular application, the requirement of obtaining the earliest possible postevent image imposes the use of data potentially possessing significantly different characteristics with respect to the pre-event image. Strongly inhomogeneous image pairs require robust automatic registration techniques, preferably based on resolution-independent feature-based registration. In a previous paper, we proposed a mode-based feature-matching scheme mutated from the computer vision domain and adapted to pre- and postevent feature matching. Some of the weak points highlighted in that first version are addressed in this paper, where a new version of the method is proposed, which exploits a new piece of information, i.e., the adjacency between feature points, generally preserved across the disaster event. Extensive generation of synthetic cases allowed one to obtain significant feedback and, consequently, tune the algorithm. Three real cases of pre- and postevent feature matching on high-resolution satellite images are shown and discussed.
  IEEE Transactions on Geoscience and Remote Sensing 08/2010; · 2.89 Impact Factor
• Conference Proceeding: Low-resolution urban area outlining in satellite SAR images

  D. Polli, F. Dell'Acqua, P. Gamba, S. Clemenzi
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  ABSTRACT: Urban areas represent a vital and highly dynamic environment, and monitoring their growth provides important input to decision and policy makers at large scale. Detection and outlining of urban areas from satellite sensors, though less precise, is faster than any on-site data collection. Various techniques have been proposed to classify urban areas, based on their typical features like textural features or backscatter intensity. In this paper a fuzzy-connectedness technique proposed for coastline detection, based on interferometric coherence and backscatter intensity, has been tested and adapted to urban area boundary detection. The modified method appear to be suitable for urban area extraction at ERS-like resolutions, for which long historical records are available allowing to reconstruct urban area growth in the past.
  Urban Remote Sensing Event, 2009 Joint; 06/2009