Title: Morphological Descriptors and Spatial Aggregations for Characterizing Damaged Buildings in Very High Resolution Images
Citation: ESA-EUSC-JRC 2009: Image Information Mining: automation of geospatial intelligence from Earth Observation
Publisher: European Space Agency (ESA)
Publication Year: 2009
JRC N°: JRC54377
URI: http://earth.eo.esa.int/rtd/Events/ESA-EUSC-JRC_2009/Papers/Pap_Gueguen.pdf
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.