Application, Adaption and Validation of the Thermal Urban Road Normalization Algorithm in a European City
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
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.
Description
@inproceedings{10.2312:envirvis.20241135,
booktitle = {Workshop on Visualisation in Environmental Sciences (EnvirVis)},
editor = {Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Nsonga, Baldwin},
title = {{Application, Adaption and Validation of the Thermal Urban Road Normalization Algorithm in a European City}},
author = {Striewski, Friedrich and Comi, Ennio Luigi and Tiefenbacher, Fiona and Lack, Natalie and Battaglia, Mattia and Bleisch, Susanne},
year = {2024},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-260-8},
DOI = {10.2312/envirvis.20241135}
}