The photogrammetric processing of thermal infrared (TIR) images deals with several difficulties. TIR images ordinarily have low-resolution and the contrast of the images is very low. These factors strongly complicate the photogrammetric processing, especially when a modern structure from motion method is used. These factors can be avoided by a certain co-processing method of TIR and RGB images. Two of the solutions of co-processing were suggested by the authors and are presented in this article. Each solution requires a different type of transformation–plane transformation and spatial transformation. Both types of transformations are discussed in this paper. On the experiments that were performed, there are presented requirements, advantages, disadvantages, and results of the transformations. Both methods are evaluated mainly in terms of accuracy. The transformations are presented on suggested methods, but they can be easily applied to different kinds of methods of co-processing of TIR and RGB images.
<p><strong>Abstract.</strong> In climate conditions of the Czech Republic is getting more important to carry out thermal inspection during documentation and inventory of buildings. Capturing and photogrammetric processing of thermal images requires special photogrammetric approaches especially because of low thermal image resolution. Part of this paper is focused on photogrammetric processing of thermal images using different methods with different 2D and 3D results which help civil engineers and architects better interpretation of thermal imaging. Those results are presented on chosen test objects. Photogrammetric results are also analysed in terms of geometric accuracy. The importance of integration of 2D and 3D results to GIS and BIM for facility management is discussed in final part of the paper.</p>
<p><strong>Abstract.</strong> Thermal inspection of a building is a very important part of facility management. This paper presents the methodology how to capture thermal images on a case of a family house, how to process thermal images using current photogrammetric method and how to achieve point cloud where each point is enhanced by information about temperature. This enhanced point cloud could be data for BIM or GIS and could be a valuable result for facility managers where they can detect thermal leaks or anomalies. Due to the point cloud, the thermal leaks or anomalies could be easily located and described. The accuracy of the point cloud is tested by check points and the resulted point cloud is compared with point cloud gathered by a laser scanner. The last part of the paper is devoted to a discussion about the results and outputs of the photogrammetric processing of thermal images.</p>
In some applications of thermography, spatial orientation of the thermal infrared information can be desirable. By the photogrammetric processing of thermal infrared (TIR) images, it is possible to create 2D and 3D results augmented by thermal infrared information. On the augmented 2D and 3D results, it is possible to locate thermal occurrences in the coordinate system and to determine their scale, length, area or volume. However, photogrammetric processing of TIR images is difficult due to negative factors which are caused by the natural character of TIR images. Among the negative factors are the lower resolution of TIR images compared to RGB images and lack of visible features on the TIR images. To eliminate these negative factors, two methods of photogrammetric co-processing of TIR and RGB images were designed. Both methods require a fixed system of TIR and RGB cameras and for each TIR image a corresponding RGB image must be captured. One of the methods was termed sharpening and the result of this method is mainly an augmented orthophoto, and an augmented texture of the 3D model. The second method was termed reprojection and the result of this method is a point cloud augmented by thermal infrared information. The details of the designed methods, as well as the experiments related to the methods, are presented in this article.
Exploration of historical buildings during their life cycles is one of many aspects of the cultural heritage research. For studying different conditions of historical buildings over time, it is convenient to use photogrammetric surveys carried out in different time stages. Modern photogrammetric methods give the possibility to use archived analogue photogrammetric data, re-process them, and achieve new potentially valuable results with sufficient geometric accuracy and with high visual quality. The paper presents re-processing of analogue archival photogrammetric images captured by a metric camera in 1991 and compares the results to the new photogrammetric survey with a digital camera. The object of interest is Padise Abbey in Estonia. In 1991, parts of the abbey were in poor condition and conservation and renovation works were at an early stage. Nowadays, the abbey is partly renovated, and the results of the new photogrammetric survey give an opportunity to study two completely different conditions.
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