Extracting Information of Urban Land Surface with High Resolution Remote Sensing Data

Abstract

With the advantages of high spatial resolution and definition, and rich information, land classification and land utilization of urban surface can be reached by using the high resolution remote sensing data. Based on the high resolution remote sensing image data Worldview-1 and Worldview-2 as the main data source, using the methods of stereo images, object-oriented land use classification technique and architecture shadow, this study (1) extracts 5-meter resolution DEM data of Shilipu district in Wuhan and the average relative error compared with the measured DEM data of ground points is 3.71% with relatively high precision, (2) obtains the land use information of this area with an accuracy rate of 90%, and (3) achieve the data of building height in this area with the relative error of less than 20%. The results of this paper show that the high speed and precision can meet the 3d modeling elevation precision and plane precision of digital urban buildings when using high-resolution remote sensing images to extract basic geographic information in small urban areas, which will play an important role in the research of urban surface information extraction in the future.