Classification of Urban Objects in High Resolution Satellite Images and Produce the Information Layer in order to Facilitate the Risk Management Process in terms of Passive Defense

Providing information layers including the most important means of facilitating land use in urban areas are in the process of crisis management. Urban management based on their knowledge and information layers of the urban side, preclude a broader crisis. Remote sensing technology and fast as science and technology plays an important role in the production of information. Urban effects and a wide detection of satellite images have useful applications in various fields, including automating the process of identifying and extracting data from images and update database information system locations. The purpose of this research is to introduce and implement automated way to extract information congested urban land cover in the region, based on object-based methods and analysis in the context of satellite images with high spatial resolution. After the proposed procedure hierarchical segmentation process, to produce the texture descriptors for each of the events will be discussed. The method proposed in this study was 86% overall accuracy and kappa coefficient 0.83 satellite image was obtained for the detection of complications city.