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Article

Evaluating Thermal Attribute Mapping Strategies for Oblique Airborne Photogrammetric System AOS-Tx8

1
Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, 01069 Dresden, Germany
2
Institute of Geoinformation and Surveying, Hochschule Anhalt, 06846 Dessau-Roßlau, Germany
*
Author to whom correspondence should be addressed.
Received: 15 November 2019 / Revised: 20 December 2019 / Accepted: 25 December 2019 / Published: 30 December 2019
(This article belongs to the Special Issue Point Cloud Processing in Remote Sensing)
Thermal imagery is widely used in various fields of remote sensing. In this study, a novel processing scheme is developed to process the data acquired by the oblique airborne photogrammetric system AOS-Tx8 consisting of four thermal cameras and four RGB cameras with the goal of large-scale area thermal attribute mapping. In order to merge 3D RGB data and 3D thermal data, registration is conducted in four steps: First, thermal and RGB point clouds are generated independently by applying structure from motion (SfM) photogrammetry to both the thermal and RGB imagery. Next, a coarse point cloud registration is performed by the support of georeferencing data (global positioning system, GPS). Subsequently, a fine point cloud registration is conducted by octree-based iterative closest point (ICP). Finally, three different texture mapping strategies are compared. Experimental results showed that the global image pose refinement outperforms the other two strategies at registration accuracy between thermal imagery and RGB point cloud. Potential building thermal leakages in large areas can be fast detected in the generated texture mapping results. Furthermore, a combination of the proposed workflow and the oblique airborne system allows for a detailed thermal analysis of building roofs and facades. View Full-Text
Keywords: oblique airborne; thermal; RGB; point cloud; registration; mapping oblique airborne; thermal; RGB; point cloud; registration; mapping
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MDPI and ACS Style

Lin, D.; Bannehr, L.; Ulrich, C.; Maas, H.-G. Evaluating Thermal Attribute Mapping Strategies for Oblique Airborne Photogrammetric System AOS-Tx8. Remote Sens. 2020, 12, 112. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12010112

AMA Style

Lin D, Bannehr L, Ulrich C, Maas H-G. Evaluating Thermal Attribute Mapping Strategies for Oblique Airborne Photogrammetric System AOS-Tx8. Remote Sensing. 2020; 12(1):112. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12010112

Chicago/Turabian Style

Lin, Dong, Lutz Bannehr, Christoph Ulrich, and Hans-Gerd Maas. 2020. "Evaluating Thermal Attribute Mapping Strategies for Oblique Airborne Photogrammetric System AOS-Tx8" Remote Sensing 12, no. 1: 112. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12010112

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