Classification of Urban Land Based on Object-oriented Information Extraction Technology

Abstract

Object-oriented information extraction technology compared with the pixel-based classification method is suitable for classification of high resolution remotely sensed images.Object-oriented image analysis has two key technologies,multi-scale image segmentation and classification technologies based segmentation.Urban area of Huairou was selected as study area,and the purpose is to extract information from QuickBird image using above approach.The conclusions are: ①pepper and salt noises are discarded;② 84.82% overall accuracy is achieved while only 73.87% is achieved with traditional pixel-based method.Furthermore,precision of each kind of object information was also improved,particularly for grass,roads and building shadows.