Radiometric equalization of remote sensing data by utilization of laser scan data

This contribution describes a new approach for detection of shadow areas appearing in remote sensing image data. Identification of objects like streets or vehicles is frequently disturbed by illumination effects like hard shadows or inhomogeneous darkening due to varying tilt angles of the processed terrain. To increase the reliability of the recognition process, we apply a sensor fusion of elevation data from laser scanning and optical image data. The represented algorithm improves the results iteratively. The different results are discussed and then used for further processing within a radiometric equalization.