Please use this identifier to cite or link to this item:
|Title:||Morphological Descriptors and Spatial Aggregations for Characterizing Damaged Buildings in Very High Resolution Images|
|Authors:||GUEGUEN LIONEL; PESARESI Martino; SOILLE Pierre; GERHARDINGER Andrea|
|Citation:||ESA-EUSC-JRC 2009: Image Information Mining: automation of geospatial intelligence from Earth Observation|
|Publisher:||European Space Agency (ESA)|
|Type:||Articles in periodicals and books|
|Abstract:||A methodology for extracting complex structures in VHR images is presented. Using morphological descriptors for representing simple structures, the method proposes to aggregate those in a fuzzy logic framework. The result is a map of complex structure membership. Then, the methodology is adapted for characterizing damaged buildings in a VHR scene. During the characterization process, the image analyst uncertainty knowledge is incorporated through visual inspection. Damaged buildings membership obtained on a Quickbird wide scene show the effectiveness of the methodology, in terms of reliability and user-machine interactions. In addition, such representation is demonstrated to be versatile, as demonstrated in spatial statistics extraction.|
|JRC Directorate:||Space, Security and Migration|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.