Quality-based building-texture selection from different sensors

Abstract

This contribution is focused on the selection of building textures extracted from thermal infrared (TIR) image sequences acquired both from terrestrial and aerial platforms by introducing a quality assessment. Extracted quality features are completeness of the texture, projection accuracy, viewing angle, and geometric resolution. The calculation of the quality features is discussed and results are presented. The proposed method allows to compare the quality of different recordings from different positions and even sensors to obtain the most complete and accurate buildings textures of high geometric resolution.