Energy efficiency studies through 3D laser scanning and thermographic technologies

Lagüela, S.; Martínez, J.; Armesto, Julia; Arias, Pedro

doi:10.1016/j.enbuild.2010.12.031

Cited by 72 publications

(43 citation statements)

References 19 publications

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“…(Bryan et al, 1999;Rodríguez-Gonzálvez et al, 2012). The technical procedure presented in this paper has been used in previous studies on energy efficiency in buildings (Lagüela et al, 2011). Their methodolgy has been applied in this study of Peña Castil Ice Cave.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Orthothermographies and 3D modeling as potential tools in ice caves studies: the Peña Castil Ice Cave (Picos de Europa, Northern Spain)

Berenguer-Sempere¹,

Gómez‐Lende²,

Seranno³

et al. 2014

IJS

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Section: Methodsmentioning

confidence: 99%

“…The minimum number of points that need to assemble both technologies is 6, with more points increasing the precision. Once the process was finished, the three-dimensional thermographic model was made (Lagüela et al, 2011).…”

Section: Thermographic Surveymentioning

confidence: 99%

Orthothermographies and 3D modeling as potential tools in ice caves studies: the Peña Castil Ice Cave (Picos de Europa, Northern Spain)

Berenguer-Sempere¹,

Gómez‐Lende²,

Seranno³

et al. 2014

IJS

View full text Add to dashboard Cite

“…Furthermore, the registration of thermographies with the geometric data captured, for example by a laser scanner, leads to the spatial localization of thermal defects, making possible the placement of the detected thermal bridges and thermal anomalies in their exact position within the walls of the building. The wide range of possible applications has led to the increasing research in 3D modeling with thermographic images, both by applying photogrammetry techniques to the images alone (Luhmann et al, 2010) and by fusing them with a laser scanning point cloud (Lagüela et al, 2011). In the thermographic image -point cloud fusion approach, the main obstacle to be solved is the large number of thermographic images needed for a complete representation of a building.…”

Section: Motivationsmentioning

confidence: 99%

Automatic Procedure for the Registration of Thermographic Images With Point Clouds

Lagüela

Armesto

Arias

et al. 2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper presents a procedure for the automatic registration of thermographies with laser scanning point clouds. Given the heterogeneous nature of the two modalities, we propose a feature-based approach, satisfying the requisite that extracted features have to be invariant not only to rotation, translation and scale but also to changes in illumination and dimensionality. As speed and minimum operator interaction are prerequisites for the viability of the process in the building industry, our automatic registration procedure includes automatic feature extraction with no human intervention. With this aim, a line segment detector is used to extract 2D lines from thermographies, and 3D lines are extracted through segmentation of the point cloud. Feature-matching and the relative pose between thermographies and point cloud are obtained from an iterative procedure applied to detect and reject outliers; this includes rotation matrix and translation vector calculation and the application of the RANSAC algorithm to find a consistent set of matches. An automatically textured thermographic 3D model is the expected result of these procedures once the point cloud is filtered and triangulated. * Corresponding author. susiminas@uvigo.es

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“…It can be done by combining 3D models with statistical data for larger scale studies, such as for a whole city (Kaden andKolbe, 2013, Mastrucci et al, 2014). Another common approach is to assess the energy efficiency by acquiring data of building facades using a thermal sensor, by either combining a thermal sensor with a 3D laser scanner (Lagüela et al, 2011b) or by generating a 3D model with the acquired thermal images (González-Aguilera et al, 2013). A thermal infrared sensor is used for detection of thermal loss during building inspections of rehabilitation projects (Balaras and Argiriou, 2002), which more often is done by combining data captured in the thermal infrared and in the visible spectrum (Ribarić et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Concept for Classifying Facade Elements Based on Material, Geometry and Thermal Radiation Using Multimodal Uav Remote Sensing

Ilehag

Schenk

Hinz

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper presents a concept for classification of facade elements, based on the material and the geometry of the elements in addition to the thermal radiation of the facade with the usage of a multimodal Unmanned Aerial Vehicle (UAV) system. Once the concept is finalized and functional, the workflow can be used for energy demand estimations for buildings by exploiting existing methods for estimation of heat transfer coefficient and the transmitted heat loss. The multimodal system consists of a thermal, a hyperspectral and an optical sensor, which can be operational with a UAV. While dealing with sensors that operate in different spectra and have different technical specifications, such as the radiometric and the geometric resolution, the challenges that are faced are presented. Addressed are the different approaches of data fusion, such as image registration, generation of 3D models by performing image matching and the means for classification based on either the geometry of the object or the pixel values. As a first step towards realizing the concept, the result from a geometric calibration with a designed multimodal calibration pattern is presented.

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Energy efficiency studies through 3D laser scanning and thermographic technologies

Cited by 72 publications

References 19 publications

Orthothermographies and 3D modeling as potential tools in ice caves studies: the Peña Castil Ice Cave (Picos de Europa, Northern Spain)

Orthothermographies and 3D modeling as potential tools in ice caves studies: the Peña Castil Ice Cave (Picos de Europa, Northern Spain)

Automatic Procedure for the Registration of Thermographic Images With Point Clouds

Concept for Classifying Facade Elements Based on Material, Geometry and Thermal Radiation Using Multimodal Uav Remote Sensing

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