EnvirVis2024

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Application, Adaption and Validation of the Thermal Urban Road Normalization Algorithm in a European City
(The Eurographics Association, 2024) Striewski, Friedrich; Comi, Ennio Luigi; Tiefenbacher, Fiona; Lack, Natalie; Battaglia, Mattia; Bleisch, Susanne; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Nsonga, Baldwin
High resolution thermal infrared (TIR) remote sensing in the urban environment for building insulation inspection requires careful consideration of atmospheric and ground-located factors on the radiometric signal, with one being the microclimatic variability within the scene. Based on the assumption of roads as pseudo invariant objects, the TURN algorithm represents a tool to interpolate local temperature deviation within a scene and to normalize TIR-imagery in order to obtain a microclimate-free result. In this work we conduct adjustments, extensions and simplifications to the algorithm when applying it to a Middle- European urban environment. Based on research conducted in Aalen (Germany), we demonstrate our process of applying TURN for TIR-image normalization at high geometric resolutions and a scene composed of multiple adjacent flight-lines. Additionally, radiometric corrections to the TIR-image were applied prior to its processing by the algorithm. The corrections allow a validation of the TURN results by comparing them to ground-based reference data acquired during the flight with convincing agreement.