Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest

Gaohe Li; Yanli Zhang

doi:doi:10.11648/j.ijics.20190401.13

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Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest

Gaohe Li, Yanli Zhang

Published in International Journal of Information and Communication Sciences (Volume 4, Issue 1)

Received: 21 April 2019 Accepted: 28 May 2019 Published: 12 June 2019

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Abstract

Based on the digital video monitoring system in smart forest, the automatic positioning algorithm of forest fire is studied by using camera calibration technique and spatial stereo analysis. Using the method of exhaustive search and dichotomy, the location of the fire point on the terrain profile is determined by DEM model and using the principle of stereoscopic geometry. According to the characteristics of the forest terrain changes, using translation methods of the camera optical axis in the space, the mapping relationship between the plane pixel coordinates and the spatial coordinates is established. The research simplifies the algorithm. It reduces the complexity of the algorithm, reduces the intermediate calculation link, and avoids the cumulative error of multiple calculations, and improves the calculation accuracy. In the algorithm proposed in this paper, after the test of more than 40 groups of data (due to limited space, this article only lists 24 sets of data) in two geographical locations, the straight-line distance error of the two previous calculations of the fire location is within 95m, and the accuracy of the rotation Angle and pitch Angle is greatly improved. The actual application shows that the localization algorithm can meet the automatic positioning of forest fire point and is an important part of intelligent forest monitoring system.

Published in	International Journal of Information and Communication Sciences (Volume 4, Issue 1)
DOI	10.11648/j.ijics.20190401.13
Page(s)	18-23
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Forest Fire, Automatic Positioning, Digital Elevation Model, Camera Calibration, Exhaustive Search Method, Dichotomy

References

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[2]	Wang S, BERENTSEN M, and KAISER T. Signal Processing for Fire Location Using Temperature Sensor Arrays. Fire Safety Journal, 2005, vol. 40 (8): pp. 689-697
[3]	Zhemin Zhuang, XinFeng Zhang, Kalin Li, et al. Method Research Fire Source Locaion Based on Planar Circluar Sensor Arrays. Chinese Journal of Sensors and Actuators. 2009, vol. 22 (8): pp. 1208-1212
[4]	Guangqun Yang, Ning Han. Study on Forest Fire Location Method Based on Camera Calibration Technology. Journal of Safety and Environment, 2013, vol. 13 (1): pp. 215-219.
[5]	Zhemin Zhuang, Hailong Liao, Shengqiang Huang, et al. On the Early Fire Source Locating Method Base on the Weighted Differential Distance Approach in the Skew Wind Field. Journal of Safety and Environment, 2011, vol. 11 (3): pp. 177-181.
[6]	Maolin Qiu, Songde Ma, Yi Li. Overview of Camera Calibration for Computer Vision. Acta Automatica Sinica, 2000, vol. 26 (11): pp. 43-55
[7]	Lifan Fei. Establishment of Digital Ground Model (DTM) and Its Application in Agricultural Planning. Regional Research and Development, 1988, 7 (4): pp. 42-43
[8]	Jian Zhang, Guangqun Yang, Ning Han GIS- Based Positioning Methods in Video Monitoring of Forest Fires. Forestry Machinery & Woodworking Equipment, 2009, vol. 36 (5): pp. 24-26.
[9]	Shouyi Lu, Xiaoming Tang, Shengguo Wang. A Tutorial on the Use of Geographic Information Systems. China Forestry Press. Beijing, China, 1998. p152.
[10]	Jianmin Yin. Research on Satellite Remote Sensing Fire Location Algorithm under ArcInfo. Nanjing Meteorological Journal, 2004, vol. 27 (5): pp. 688- 694.
[11]	Survey Adjustment Group, School of Surveying and Mapping, Wuhan University. Error Theory and Basis of Measurement Adjustment. Wuhan: Wuhan University Press, 2003. pp. 207.
[12]	Andrei B. Utkin, Armando Fernandes, Fernando Simoes, Alesander Lavrov and Rui Vilar. Feasibility of Forest - Fire Smoke Detection Using Lidar. International Journal of Wildland Fire, 2003, (12): pp. 159- 166.
[13]	Morsdorf, F., Meier, E., K#tz, B., Itten, K. I., Dobbertin, M., Allg$wer, B. LIDAR - Based Geometric Reconstruction of Boreal Type Forest Stands at Single Tree Level for Forest and Wildland Fire Management. Remote Sensing of Environment, 2004, 92 (3): pp. 353- 362.
[14]	Jian Zhang, Guangqun Yang, Ning Han, Yi Liang. Research on Forest Fire Location Algorithm Based on Video Monitoring System. Journal of Safety and Environment, 2009, Beijing, China, vol. 9 (1): pp. 127-130.
[15]	Qifeng Yu, Yang Shang. Principle and Application Research of Photogrammetry. Science Press, Beijing, China, 2009: pp. 23-25.

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APA Style

Gaohe Li, Yanli Zhang. (2019). Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest. International Journal of Information and Communication Sciences, 4(1), 18-23. https://doi.org/10.11648/j.ijics.20190401.13

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ACS Style

Gaohe Li; Yanli Zhang. Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest. Int. J. Inf. Commun. Sci. 2019, 4(1), 18-23. doi: 10.11648/j.ijics.20190401.13

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AMA Style

Gaohe Li, Yanli Zhang. Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest. Int J Inf Commun Sci. 2019;4(1):18-23. doi: 10.11648/j.ijics.20190401.13

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@article{10.11648/j.ijics.20190401.13,
  author = {Gaohe Li and Yanli Zhang},
  title = {Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest},
  journal = {International Journal of Information and Communication Sciences},
  volume = {4},
  number = {1},
  pages = {18-23},
  doi = {10.11648/j.ijics.20190401.13},
  url = {https://doi.org/10.11648/j.ijics.20190401.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijics.20190401.13},
  abstract = {Based on the digital video monitoring system in smart forest, the automatic positioning algorithm of forest fire is studied by using camera calibration technique and spatial stereo analysis. Using the method of exhaustive search and dichotomy, the location of the fire point on the terrain profile is determined by DEM model and using the principle of stereoscopic geometry. According to the characteristics of the forest terrain changes, using translation methods of the camera optical axis in the space, the mapping relationship between the plane pixel coordinates and the spatial coordinates is established. The research simplifies the algorithm. It reduces the complexity of the algorithm, reduces the intermediate calculation link, and avoids the cumulative error of multiple calculations, and improves the calculation accuracy. In the algorithm proposed in this paper, after the test of more than 40 groups of data (due to limited space, this article only lists 24 sets of data) in two geographical locations, the straight-line distance error of the two previous calculations of the fire location is within 95m, and the accuracy of the rotation Angle and pitch Angle is greatly improved. The actual application shows that the localization algorithm can meet the automatic positioning of forest fire point and is an important part of intelligent forest monitoring system.},
 year = {2019}
}

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TY  - JOUR
T1  - Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest
AU  - Gaohe Li
AU  - Yanli Zhang
Y1  - 2019/06/12
PY  - 2019
N1  - https://doi.org/10.11648/j.ijics.20190401.13
DO  - 10.11648/j.ijics.20190401.13
T2  - International Journal of Information and Communication Sciences
JF  - International Journal of Information and Communication Sciences
JO  - International Journal of Information and Communication Sciences
SP  - 18
EP  - 23
PB  - Science Publishing Group
SN  - 2575-1719
UR  - https://doi.org/10.11648/j.ijics.20190401.13
AB  - Based on the digital video monitoring system in smart forest, the automatic positioning algorithm of forest fire is studied by using camera calibration technique and spatial stereo analysis. Using the method of exhaustive search and dichotomy, the location of the fire point on the terrain profile is determined by DEM model and using the principle of stereoscopic geometry. According to the characteristics of the forest terrain changes, using translation methods of the camera optical axis in the space, the mapping relationship between the plane pixel coordinates and the spatial coordinates is established. The research simplifies the algorithm. It reduces the complexity of the algorithm, reduces the intermediate calculation link, and avoids the cumulative error of multiple calculations, and improves the calculation accuracy. In the algorithm proposed in this paper, after the test of more than 40 groups of data (due to limited space, this article only lists 24 sets of data) in two geographical locations, the straight-line distance error of the two previous calculations of the fire location is within 95m, and the accuracy of the rotation Angle and pitch Angle is greatly improved. The actual application shows that the localization algorithm can meet the automatic positioning of forest fire point and is an important part of intelligent forest monitoring system.
VL  - 4
IS  - 1
ER  -

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Author Information

Gaohe Li

School of Economic Management, Xi'an Shiyou University, Xi’an, China
Yanli Zhang

International Business School, Shaanxi Normal University, Xi’an, China

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Plain Text BibTeX RIS

APA Style

Gaohe Li, Yanli Zhang. (2019). Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest. International Journal of Information and Communication Sciences, 4(1), 18-23. https://doi.org/10.11648/j.ijics.20190401.13

Copy | Download

ACS Style

Gaohe Li; Yanli Zhang. Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest. Int. J. Inf. Commun. Sci. 2019, 4(1), 18-23. doi: 10.11648/j.ijics.20190401.13

Copy | Download

AMA Style

Gaohe Li, Yanli Zhang. Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest. Int J Inf Commun Sci. 2019;4(1):18-23. doi: 10.11648/j.ijics.20190401.13

Copy | Download

@article{10.11648/j.ijics.20190401.13,
  author = {Gaohe Li and Yanli Zhang},
  title = {Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest},
  journal = {International Journal of Information and Communication Sciences},
  volume = {4},
  number = {1},
  pages = {18-23},
  doi = {10.11648/j.ijics.20190401.13},
  url = {https://doi.org/10.11648/j.ijics.20190401.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijics.20190401.13},
  abstract = {Based on the digital video monitoring system in smart forest, the automatic positioning algorithm of forest fire is studied by using camera calibration technique and spatial stereo analysis. Using the method of exhaustive search and dichotomy, the location of the fire point on the terrain profile is determined by DEM model and using the principle of stereoscopic geometry. According to the characteristics of the forest terrain changes, using translation methods of the camera optical axis in the space, the mapping relationship between the plane pixel coordinates and the spatial coordinates is established. The research simplifies the algorithm. It reduces the complexity of the algorithm, reduces the intermediate calculation link, and avoids the cumulative error of multiple calculations, and improves the calculation accuracy. In the algorithm proposed in this paper, after the test of more than 40 groups of data (due to limited space, this article only lists 24 sets of data) in two geographical locations, the straight-line distance error of the two previous calculations of the fire location is within 95m, and the accuracy of the rotation Angle and pitch Angle is greatly improved. The actual application shows that the localization algorithm can meet the automatic positioning of forest fire point and is an important part of intelligent forest monitoring system.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Research on Automatic Positioning Algorithm of Fire Point by Video Image in Intelligent Forest
AU  - Gaohe Li
AU  - Yanli Zhang
Y1  - 2019/06/12
PY  - 2019
N1  - https://doi.org/10.11648/j.ijics.20190401.13
DO  - 10.11648/j.ijics.20190401.13
T2  - International Journal of Information and Communication Sciences
JF  - International Journal of Information and Communication Sciences
JO  - International Journal of Information and Communication Sciences
SP  - 18
EP  - 23
PB  - Science Publishing Group
SN  - 2575-1719
UR  - https://doi.org/10.11648/j.ijics.20190401.13
AB  - Based on the digital video monitoring system in smart forest, the automatic positioning algorithm of forest fire is studied by using camera calibration technique and spatial stereo analysis. Using the method of exhaustive search and dichotomy, the location of the fire point on the terrain profile is determined by DEM model and using the principle of stereoscopic geometry. According to the characteristics of the forest terrain changes, using translation methods of the camera optical axis in the space, the mapping relationship between the plane pixel coordinates and the spatial coordinates is established. The research simplifies the algorithm. It reduces the complexity of the algorithm, reduces the intermediate calculation link, and avoids the cumulative error of multiple calculations, and improves the calculation accuracy. In the algorithm proposed in this paper, after the test of more than 40 groups of data (due to limited space, this article only lists 24 sets of data) in two geographical locations, the straight-line distance error of the two previous calculations of the fire location is within 95m, and the accuracy of the rotation Angle and pitch Angle is greatly improved. The actual application shows that the localization algorithm can meet the automatic positioning of forest fire point and is an important part of intelligent forest monitoring system.
VL  - 4
IS  - 1
ER  -

Copy | Download