Thermographic Mobile Mapping of Urban Environment for Lighting and Energy Studies

López, Susana Lagüela; García, Javier Cereijo; Martínez-Sánchez, J.; Bernárdez, David Roca; Cimadevila, Henrique Lorenzo

doi:10.15627/jd.2014.2

Cited by 8 publications

(2 citation statements)

References 23 publications

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“…Mapping from 3D data refers to using both a LiDAR (3D laser scanning) tool and an RGB or thermal camera. As Laguela Lopez et al 2014 [47] described, upper façade parts and roofs cannot be investigated using UGVs. Additionally, fewer studies have focused on thermal mapping modeling for energy audits at a large district level using UASs.…”

Section: Photogrammetry and Thermal Mapping Modelingmentioning

confidence: 99%

Fusing tie points' RGB and thermal information for mapping large areas based on aerial images: A study of fusion performance under different flight configurations and experimental conditions

Hou

Volk

Chen

et al. 2021

Automation in Construction

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Section: Photogrammetry and Thermal Mapping Modelingmentioning

confidence: 99%

Fusing tie points' RGB and thermal information for mapping large areas based on aerial images: A study of fusion performance under different flight configurations and experimental conditions

Hou

Volk

Chen

et al. 2021

Automation in Construction

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“…To provide a spatial reference for thermal images and to facilitate their interpretation, thermal measurements are often integrated with other data sources. The complementary geometric information often comes from laser scanning [6,7], photogrammetric spectral imagery [8,9] or existing building models [10]. Meanwhile, sensor solutions are also now available that offer a laser scanner with integrated thermal camera technology (Leica BLK360).…”

mentioning

confidence: 99%

Supervised Detection of Façade Openings in 3D Point Clouds with Thermal Attributes

2020

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Targeted energy management and control is becoming an increasing concern in the building sector. Automatic analyses of thermal data, which minimize the subjectivity of the assessment and allow for large-scale inspections, are therefore of high interest. In this study, we propose an approach for a supervised extraction of façade openings (windows and doors) from photogrammetric 3D point clouds attributed to RGB and thermal infrared (TIR) information. The novelty of the proposed approach is in the combination of thermal information with other available characteristics of data for a classification performed directly in 3D space. Images acquired in visible and thermal infrared spectra serve as input data for the camera pose estimation and the reconstruction of 3D scene geometry. To investigate the relevance of different information types to the classification performance, a Random Forest algorithm is applied to various sets of computed features. The best feature combination is then used as an input for a Conditional Random Field that enables us to incorporate contextual information and consider the interaction between the points. The evaluation executed on a per-point level shows that the fusion of all available information types together with context consideration allows us to extract objects with 90% completeness and 95% correctness. A respective assessment executed on a per-object level shows 97% completeness and 88% accuracy.

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A Hand-Held Sensor System for Exploration and Thermal Mapping of Volcanic Fumarole Fields

Irmisch

Ernst

Baumbach

et al. 2021

Communications in Computer and Information Science

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Research from the field of planetary- and geoscience require investigation of geological features in harsh environments. Sampled data needs to be precisely localized spatially and in time, and to be prepared appropriately for further inspection and evaluation. In the case of thermal image data, the computer vision community has made enormous progress in the past years to combine thermal with spatial information in form of thermal 3D models. In this paper, we propose to use a camera-based hand-held sensor system to capture and georeference thermal images in rugged terrain and to prepare the data for further investigations by visualizing the thermal data in 3D. We use a global localization solution to gain fast 3D impressions of the environment and further Structure from Motion to generate detailed mid-scale models of selected interesting structures. We demonstrate our application based on a challenging dataset that we acquired in the active fumarole fields of Vulcano, Sicily.

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Thermographic Mobile Mapping of Urban Environment for Lighting and Energy Studies

Cited by 8 publications

References 23 publications

Fusing tie points' RGB and thermal information for mapping large areas based on aerial images: A study of fusion performance under different flight configurations and experimental conditions

Fusing tie points' RGB and thermal information for mapping large areas based on aerial images: A study of fusion performance under different flight configurations and experimental conditions

Supervised Detection of Façade Openings in 3D Point Clouds with Thermal Attributes

A Hand-Held Sensor System for Exploration and Thermal Mapping of Volcanic Fumarole Fields

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