Integration of High Resolution Multispectral Imagery with Lidar and Ifsar Data for Urban Analysis Applications

This paper presents the integration of 50 cm 4 band (R, G, B, and infrared) imagery with 80 cm LIDAR, and 2.5 meter posting IFSAR surface elevation models for urban scene analysis. The goal is to characterize urban scenes in terms of buildings, trees, roads, other geometrical structures, open areas, and various natural land covers. This type of information is useful for applications such as urban monitoring, change detection, and urban scene visualization. In this paper we present some of our recent findings for automated extraction of buildings, and integration of multiple sensors for landcover classification and feature extraction. In addition, we present a comparative analysis of the digital surface model provided by Laser altimeter, and Interferometric Synthetic Aperture Radar (IFSAR). The algorithms presented in this paper are applied to an urban area composed of isolated and dense built areas, trees, and natural topography.