Automatic feature extraction of features such as building, roads, vegetation etc., which also includes collapsed, height-changed and removed buildings, require the use of high resolution images. This research is helpful to develop a technique that can detect changes in urban buildings after natural disasters such as earthquakes, typhoons or tsunamis. This is also helpful in providing an accurate information about the changes for urban planning and updating Geo-spatial information system (GIS).It is necessary that the remote sensing imagery has to be converted into some meaning information, which in turn requires some segmentation methods followed by classification. Earlier pixel based approaches was followed which requires more computation on these high resolution images .This paper proposes few object based method (K-means , KFCM , Moving KFCM)for classification that segments the image followed by classification.