Details
| Original language | English |
|---|---|
| Pages (from-to) | 499-505 |
| Number of pages | 7 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 43 |
| Issue number | B1 |
| Publication status | Published - 6 Aug 2020 |
| Event | 2020 24th ISPRS Congress - Technical Commission I - Nice, Virtual, France Duration: 31 Aug 2020 → 2 Sept 2020 |
Abstract
This paper describes a method for automatic thermal anomaly detection of a DHS. Thermal data acquisition using a UAV is followed by photogrammetric processing of the TIR images. In this way, a thermal orthophoto is produced. The next step is an identification of anomalies by means of image analysis. We apply the Laplacian of Gaussian (LoG) blob detector to find high temperature regions in areas of interest of a thermal orthomosaic. This area of interest is defined around the DHS position in the images as defined in a Geographic Information System. Finally, segmentation and classification are employed to reduce false alarms and localize thermal anomalies. An experimental evaluation using real-world data is presented, showing that the developed method deliverers promising results.
Keywords
- Distributed heating network, Photogrammetry, Thermal infrared imaging, UAV
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
Sustainable Development Goals
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 43, No. B1, 06.08.2020, p. 499-505.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - UAV-based thermal anomaly detection for distributed heating networks
AU - Sledz, A.
AU - Unger, J.
AU - Heipke, C.
N1 - Funding Information: The work is supported by the Arbeitsgemeinschaft industrieller Forschungsvereinigungen (AiF) under IGF-grant no. 19768 N. This support is gratefully acknowledged. The authors would like to thank our partners Fernwärme-Forschungsinstitut (FFI) GmbH, Hemmingen (Germany) and Enercity AG, Hannover (Germany), and in particular Volker Herbst (FFI) and Werner Manthey (Enercity) for their strong support.
PY - 2020/8/6
Y1 - 2020/8/6
N2 - District Heating Systems (DHS) distribute heat in terms of hot water or steam. Loss of media (water or steam), and thus energy, is expensive and has a negative impact on the environment. It is therefore of great interest to develop techniques to detect and localize potential leakages fast and cost-effectively. To avoid interference with the operating process of a DHS, airborne thermography comes into place. The use of Unmanned Aerial Vehicles (UAV) as a flexible and low-cost platform equipped with a Thermal InfraRed (TIR) camera is a promising alternative to a conventional manned flight.This paper describes a method for automatic thermal anomaly detection of a DHS. Thermal data acquisition using a UAV is followed by photogrammetric processing of the TIR images. In this way, a thermal orthophoto is produced. The next step is an identification of anomalies by means of image analysis. We apply the Laplacian of Gaussian (LoG) blob detector to find high temperature regions in areas of interest of a thermal orthomosaic. This area of interest is defined around the DHS position in the images as defined in a Geographic Information System. Finally, segmentation and classification are employed to reduce false alarms and localize thermal anomalies. An experimental evaluation using real-world data is presented, showing that the developed method deliverers promising results.
AB - District Heating Systems (DHS) distribute heat in terms of hot water or steam. Loss of media (water or steam), and thus energy, is expensive and has a negative impact on the environment. It is therefore of great interest to develop techniques to detect and localize potential leakages fast and cost-effectively. To avoid interference with the operating process of a DHS, airborne thermography comes into place. The use of Unmanned Aerial Vehicles (UAV) as a flexible and low-cost platform equipped with a Thermal InfraRed (TIR) camera is a promising alternative to a conventional manned flight.This paper describes a method for automatic thermal anomaly detection of a DHS. Thermal data acquisition using a UAV is followed by photogrammetric processing of the TIR images. In this way, a thermal orthophoto is produced. The next step is an identification of anomalies by means of image analysis. We apply the Laplacian of Gaussian (LoG) blob detector to find high temperature regions in areas of interest of a thermal orthomosaic. This area of interest is defined around the DHS position in the images as defined in a Geographic Information System. Finally, segmentation and classification are employed to reduce false alarms and localize thermal anomalies. An experimental evaluation using real-world data is presented, showing that the developed method deliverers promising results.
KW - Distributed heating network
KW - Photogrammetry
KW - Thermal infrared imaging
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=85091164666&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLIII-B1-2020-499-2020
DO - 10.5194/isprs-archives-XLIII-B1-2020-499-2020
M3 - Conference article
AN - SCOPUS:85091164666
VL - 43
SP - 499
EP - 505
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
IS - B1
T2 - 2020 24th ISPRS Congress - Technical Commission I
Y2 - 31 August 2020 through 2 September 2020
ER -