An Automated Visible/Infrared Image Analysis System of Unmanned Aerial Vehicles (UAVs)

Lichun Yang; Dan Yang; Jianghao Wu

doi:10.1109/DDCLS49620.2020.9275268

An Automated Visible/Infrared Image Analysis System of Unmanned Aerial Vehicles (UAVs)

Lichun Yang
, Dan Yang
, Jianghao Wu

School of Transportation Science and Engineering

Beihang University
Jiangsu Automation Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Unmanned Aerial Vehicles (UAVs) have evolved rapidly over the past decades driven primarily by military uses. This paper illustrates the application of UAV as a platform equipped with visible/infrared sensors for battlefield reconnaissance. The characteristics of UAV imagery, however, necessitates the development of an automated visible/infrared image analysis system to enhance the operational utility of UAVs. To achieve the interpretation of the visible light and infrared images acquired by the cameras mounted on UAVs, we proposed an automatic image analysis framework in this paper. Although this system involves many aspects of data processing, for our research we chose to focus on direct and indirect image georeferencing and target tracking technique. Finally, experiments were conducted on the visible and infrared image data sets obtained from the UAV to verify the performance of the proposed system. The experimental results have demonstrated that the effectiveness of the proposed multispectral image analysis system and the availability of UAVs as a reconnaissance platform.

Original language	English
Title of host publication	Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020
Editors	Mingxuan Sun, Huaguang Zhang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1103-1108
Number of pages	6
ISBN (Electronic)	9781728159225
DOIs	https://doi.org/10.1109/DDCLS49620.2020.9275268
State	Published - 20 Nov 2020
Event	9th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2020 - Liuzhou, China Duration: 20 Nov 2020 → 22 Nov 2020

Publication series

Name	Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020

Conference

Conference	9th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2020
Country/Territory	China
City	Liuzhou
Period	20/11/20 → 22/11/20

Keywords

Unmanned Aerial Vehicles (UAVs)
center-of-gravity
direct georeferencing
ground control points (GCPs)
image analysis
targets tracking
template matching

Access to Document

10.1109/DDCLS49620.2020.9275268

Cite this

Yang, L., Yang, D., & Wu, J. (2020). An Automated Visible/Infrared Image Analysis System of Unmanned Aerial Vehicles (UAVs). In M. Sun, & H. Zhang (Eds.), Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020 (pp. 1103-1108). Article 9275268 (Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DDCLS49620.2020.9275268

Yang, Lichun ; Yang, Dan ; Wu, Jianghao. / An Automated Visible/Infrared Image Analysis System of Unmanned Aerial Vehicles (UAVs). Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020. editor / Mingxuan Sun ; Huaguang Zhang. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 1103-1108 (Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020).

@inproceedings{7c7e9427a2aa48a7b6ec10dfb3466bd1,

title = "An Automated Visible/Infrared Image Analysis System of Unmanned Aerial Vehicles (UAVs)",

abstract = "Unmanned Aerial Vehicles (UAVs) have evolved rapidly over the past decades driven primarily by military uses. This paper illustrates the application of UAV as a platform equipped with visible/infrared sensors for battlefield reconnaissance. The characteristics of UAV imagery, however, necessitates the development of an automated visible/infrared image analysis system to enhance the operational utility of UAVs. To achieve the interpretation of the visible light and infrared images acquired by the cameras mounted on UAVs, we proposed an automatic image analysis framework in this paper. Although this system involves many aspects of data processing, for our research we chose to focus on direct and indirect image georeferencing and target tracking technique. Finally, experiments were conducted on the visible and infrared image data sets obtained from the UAV to verify the performance of the proposed system. The experimental results have demonstrated that the effectiveness of the proposed multispectral image analysis system and the availability of UAVs as a reconnaissance platform.",

keywords = "Unmanned Aerial Vehicles (UAVs), center-of-gravity, direct georeferencing, ground control points (GCPs), image analysis, targets tracking, template matching",

author = "Lichun Yang and Dan Yang and Jianghao Wu",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 9th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2020 ; Conference date: 20-11-2020 Through 22-11-2020",

year = "2020",

month = nov,

day = "20",

doi = "10.1109/DDCLS49620.2020.9275268",

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series = "Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Yang, L, Yang, D & Wu, J 2020, An Automated Visible/Infrared Image Analysis System of Unmanned Aerial Vehicles (UAVs). in M Sun & H Zhang (eds), Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020., 9275268, Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 1103-1108, 9th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2020, Liuzhou, China, 20/11/20. https://doi.org/10.1109/DDCLS49620.2020.9275268

An Automated Visible/Infrared Image Analysis System of Unmanned Aerial Vehicles (UAVs). / Yang, Lichun; Yang, Dan; Wu, Jianghao.
Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020. ed. / Mingxuan Sun; Huaguang Zhang. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1103-1108 9275268 (Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2020/11/20

Y1 - 2020/11/20

N2 - Unmanned Aerial Vehicles (UAVs) have evolved rapidly over the past decades driven primarily by military uses. This paper illustrates the application of UAV as a platform equipped with visible/infrared sensors for battlefield reconnaissance. The characteristics of UAV imagery, however, necessitates the development of an automated visible/infrared image analysis system to enhance the operational utility of UAVs. To achieve the interpretation of the visible light and infrared images acquired by the cameras mounted on UAVs, we proposed an automatic image analysis framework in this paper. Although this system involves many aspects of data processing, for our research we chose to focus on direct and indirect image georeferencing and target tracking technique. Finally, experiments were conducted on the visible and infrared image data sets obtained from the UAV to verify the performance of the proposed system. The experimental results have demonstrated that the effectiveness of the proposed multispectral image analysis system and the availability of UAVs as a reconnaissance platform.

AB - Unmanned Aerial Vehicles (UAVs) have evolved rapidly over the past decades driven primarily by military uses. This paper illustrates the application of UAV as a platform equipped with visible/infrared sensors for battlefield reconnaissance. The characteristics of UAV imagery, however, necessitates the development of an automated visible/infrared image analysis system to enhance the operational utility of UAVs. To achieve the interpretation of the visible light and infrared images acquired by the cameras mounted on UAVs, we proposed an automatic image analysis framework in this paper. Although this system involves many aspects of data processing, for our research we chose to focus on direct and indirect image georeferencing and target tracking technique. Finally, experiments were conducted on the visible and infrared image data sets obtained from the UAV to verify the performance of the proposed system. The experimental results have demonstrated that the effectiveness of the proposed multispectral image analysis system and the availability of UAVs as a reconnaissance platform.

KW - Unmanned Aerial Vehicles (UAVs)

KW - center-of-gravity

KW - direct georeferencing

KW - ground control points (GCPs)

KW - image analysis

KW - targets tracking

KW - template matching

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 20 November 2020 through 22 November 2020

ER -

Yang L, Yang D, Wu J. An Automated Visible/Infrared Image Analysis System of Unmanned Aerial Vehicles (UAVs). In Sun M, Zhang H, editors, Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1103-1108. 9275268. (Proceedings of 2020 IEEE 9th Data Driven Control and Learning Systems Conference, DDCLS 2020). doi: 10.1109/DDCLS49620.2020.9275268

An Automated Visible/Infrared Image Analysis System of Unmanned Aerial Vehicles (UAVs)

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Keywords

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