An in-situ detection method for assessing the thermal transmittance of building exterior walls using unmanned aerial vehicle–infrared thermography (UAV-IRT)

Zhang, Dongjie; Zhan, Changhong; Chen, Lin; Wang, Yongjie; Li, Guanghao

doi:10.1016/j.jobe.2024.109724

Cited by 3 publications

(1 citation statement)

References 46 publications

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“…For example, traditional image processing algorithms may be affected by noise and environmental factors when processing complex thermal imaging data, leading to inaccurate analysis results [13][14][15][16]. In addition, existing methods for segmenting energy efficiency states often lack specificity and fail to comprehensively reflect the actual energy efficiency state of buildings [17][18][19][20][21][22]. Therefore, it is urgent to develop more efficient and accurate analysis methods to enhance the reliability and practicality of building energy efficiency assessments.…”

Section: Introductionmentioning

confidence: 99%

Building Energy Efficiency Analysis and Diagnosis Using Integrated Image Processing and Thermal Imaging Technologies

Liang

2024

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Section: Introductionmentioning

confidence: 99%

Building Energy Efficiency Analysis and Diagnosis Using Integrated Image Processing and Thermal Imaging Technologies

Liang

2024

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A Comprehensive Review of Thermal Transmittance Assessments of Building Envelopes

Song,

Kim,

Hwang

et al. 2024

Buildings

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Improving the energy efficiency of buildings is an important element of the effort to address global warming. The thermal performance of building envelopes is the most important thermal and physical property affecting energy performance. Therefore, identifying the thermal performance of a building envelope is essential to applying effective energy-saving measures. The U-value is a quantitative indicator of the thermal performance of the building envelope quantitatively. Methods for determining the U-value are largely classified into passive methods, which use building information without measurement campaigns, and active methods, which conduct in situ measurements. This paper reviews and evaluates the most commonly used methods and experimental results of previous studies to determine the actual U-value of a building envelope. Accordingly, this paper focuses solely on field measurement studies, excluding laboratory measurements. Comparing the existing methods used to determine the U-value can help researchers choose appropriate field measurement methods and future research directions.

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Advanced Unmixing Methodologies for Satellite Thermal Imagery: Matrix Changing and Classification Insights from ASTER and Landsat 8–9

Andrés-Anaya,

Hernández-Herráez,

Del Pozo

et al. 2024

Remote Sensing

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The Multisensor Multiresolution Technique (MMT) is applied to unmixed thermal images from ASTER (90 m), using 30 m resolution images from Landsat 8-9 reflective channels. The technique allows for the retrieval of thermal radiance values of the features identified in the high-resolution reflective images and the generation of a high-resolution radiance image. Different alternatives of application of MMT are evaluated in order to determine the optimal methodology design: performance of the Iterative Self-Organizing Data Analysis Technique (ISODATA) and K-means classification algorithms, with different initiation numbers of clusters, and computation of contributions of each cluster using moving windows with different sizes and with and without weight coefficients. Results show the K-means classification algorithm with five clusters, without matrix weighting, and utilizing a 5 × 5 pixel window for synthetic high-resolution image reconstruction. This approach obtained a maximum R2 of 0.846 and an average R2 of 0.815 across all cases, calculated through the validation of the synthetic high-resolution TIR image generated against a real Landsat 8-9 TIR image from the same area, same date, and co-registered. These values imply a 0.89% improvement regarding the second-best methodology design (K-means with five starting clusters with 7 × 7 moving window) and a 410.25% improvement regarding the worst alternative (K-means with nine initial clusters, weighting, and 3 × 3 moving window).

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An in-situ detection method for assessing the thermal transmittance of building exterior walls using unmanned aerial vehicle–infrared thermography (UAV-IRT)

Cited by 3 publications

References 46 publications

Building Energy Efficiency Analysis and Diagnosis Using Integrated Image Processing and Thermal Imaging Technologies

Building Energy Efficiency Analysis and Diagnosis Using Integrated Image Processing and Thermal Imaging Technologies

A Comprehensive Review of Thermal Transmittance Assessments of Building Envelopes

Advanced Unmixing Methodologies for Satellite Thermal Imagery: Matrix Changing and Classification Insights from ASTER and Landsat 8–9

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