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Fusion Of GIS Data and High-Resolution Satellite Imagery For Post-Earthquake Building Damage Assessment

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Fusion Of GIS Data and High-Resolution Satellite Imagery For Post-Earthquake Building Damage Assessment

Muhammad Shafique
Research Associate
National Centre of Excellence in Geology, University of Peshawar,
Pakistan
Email: [email protected]

Majid Kiavarz

K.N.TOOSI university of technology,
Email: [email protected]

Farhad Samadzadegan

Tehran university of technology
Email: [email protected]

Mohammad Javad Valadan Zoj

K.N.TOOSI university of technology
Email: [email protected]

Earthquake is one of the inevitable natural hazards that cause lots of damages and problems to the economy, environment and the whole life of people. Therefore, it is necessary to use all available knowledge and technologies for saving people and their assets through an efficient disaster management. Recent improvements in spatial resolution of commercial satellite imagery make it possible to apply very high-resolution satellite data for assessing structural damage in the aftermath of humanitarian crises.

However, in practice most of the processes for damage assessment are manual operations like on-screen change detection that are time consuming and expert dependent. To model the human capabilities in object perception and recognition for damage assessment, it seems that in a comprehensive solution: (a) All available descriptive information components of an object (such as structural information, textural information and spectral responses) must be simultaneously used; (b) A fuzzy formulation for the object definition should be devised; (c) Learning capabilities to modify the defects accompanied by the objects definition needs to be considered. This will enhance the recognition potentials when encountering new and undefined objects