A Lidar(Light Detection and Ranging) system consists of a laser scanner system, an inertial navigation system and a GPS receiver. The systematic errors of a Lidar system can affect coordinates of point clouds and must be corrected. In order to acquire highly accurate data, strip adjustment is a common method for correcting errors. In this study, Lidar strip adjustment with height and feature strength data is investigated. Strength of features can be derived from Lidar point clouds by the tensor voting algorithm. Our experiments show that quality of results can be significantly improved when feature strength data is introduced into the strip adjustment, especially in building areas.