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- W2007109701 abstract "This work aims at developing an approach to the detection of changes in multisensor multitemporal VHR optical images. The main steps of the proposed method are: i) multisensor data homogenization; and ii) change detection in multisensor multitemporal VHR optical images. The proposed approach takes advantage of: the conversion to physical quantities suggested by Pacifici <i>et. al.</i><sup>1</sup> , the framework for the design of systems for change detection in VHR images presented by Bruzzone and Bovolo<sup>2</sup> and the framework for unsupervised change detection presented by Bovolo and Bruzzone<sup>3</sup>. Multisensor data homogenization is achieved during pre-processing by taking into account differences in both radiometric and geometric dimensions. Whereas change detection was approached by extracting proper features from multisensor images such that they result to be comparable (at a given level of abstraction) even if extracted from images acquired by different sensors. In order to illustrate the results, a data set made up of a QuickBird and a WorldView-2 images - acquired in 2006 and 2010 respectively – over an area located in the Trentino region of Italy were used. However, the proposed approach is thought to be exportable to multitemporal images coming from passive sensors other than the two mentioned above. The experimental results obtained on the QuickBird and WorlView-2 image pair are accurate. Thus opening to further experiments on multitemporal images acquired by other sensors." @default.
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- W2007109701 date "2014-10-29" @default.
- W2007109701 modified "2023-09-27" @default.
- W2007109701 title "Change detection in very high resolution multisensor optical images" @default.
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- W2007109701 doi "https://doi.org/10.1117/12.2068171" @default.
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