Abstract
Since the reform and opening up policy,the development of China’s economy has been accelerating. People’s demand as well as the size of the national grid is growing and expanding.Our nation makes vigorous effort in building UHV, EHV transmission lines to meet the demand. 1000kV southeastern Shanxi - Nanyang - Jingmen UHV AC pilot demonstration project was put into operation in 2009, which brings significance to the adjustment of the layout construction and optimal allocation of China’s recourses. However, in recent years, the occurrence of extreme weather and geological disasters leads to great damage to people, which is increasing and becoming more and more fierce. At the beginning of 2008, snow disaster occurred in large scale of central and southern part of China, as well as Wenchuan earthquake in May 2008, the 2010 earthquake in Yushu in Qinghai Province, Ya’an, Sichuan earthquake in 2013, during which time the overturning of the transmission line tower caused abnormal run of the grid of those affected areas for a long time, which caused huge losses of national economy and people’s lives.
Synthetic Aperture Radar (SAR) can handle remote sensing observations through microwave, with features of all-day, round-the-clock work, high resolution, strong penetration and rich characteristic signal, etc. The region has its unique advantages in a wide range of natural disasters. Real-time and on-time feature drawings provided can be reduce the losses caused by disasters when used in emergency command and rescue work.
In this paper, research on 3m resolution TerraSAR images UHV transmission line scattering characteristics focuses on the discipline of bright spots offset by scattered wires. The study shows that the high-resolution SAR images, transmission towers and power lines can be used as a basis for target recognition for it’s high scattering intensity. In 3m image resolution, when the angle between the direction of flight is greater than 0°, the overall transmission line bright spot shift tower to the south; when less than 0°, the overall to the north. By processing the data, we found that the change of the angle formed by bright spots—caused by scattered power lines is facing an offset, while the overall offset is affected by other factors, which needs further research and analysis.
An Erratum for this chapter can be found at http://dx.doi.org/10.1007/978-3-642-45025-9_77
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Binaghi, E., Gallo, I., Pepe, M., et al.: Neural classification of high resolution remote sensing imagery for power transmission lines surveillance. In: 2002 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2002, Toronto, Ont, Canada, pp. 500–502 (2002)
Earp, G.: Condition based risk assessment of electricity towers using high resolution images from ahelicopte. In: Eighteenth International Conference and Exhibition on Electricity Distribution, CIRED 2005, Turin, Italy. Technical Reports - Session 1: Network Components, pp. 91–95 (2005)
Frost, P., Annegarn, H.: Providing satellite-based early warnings of fires to reduce fire flashovers onsouth Africa’s transmission lines. In: 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007, Barcelona, Spain, pp. 2443–2446 (2008)
Jardini, M.G.M., Jardini, J.A., et al.: Use of geo-referenced images for the surveillance of transmission lines right-of-way. In: 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings, Sao Paulo, Brazil, pp. 711–716 (2004)
Liao, J., Shao, Y., Wang, S.: Monitoring for 2003 Huai River Flood in China Using Multisource SAR Data. In: Geoscience and Remote Sensing Symposium, vol. 4, pp. 2260–2263 (2004)
Yan, L., Tao, L., et al.: Power transmission tower monitoring technology based on TerraSAR-X products. In: International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8286 (2011)
Eineder, M., Minet, C., Steigenbenger, P.: Imaging geodesy-toward centimeter level ranging accuracy with TerraSAR-X. IEEE Trans. on Geoscience and Remote Sensing 4(2), 661–671 (2011)
Novak, L.M., Owirka, G.J., Netishen, C.M.: Performance of a High resolution Polarimetric SAR Automatic Target Recognition System. The Lincoln Laboratory Journal 6, 11224 (1993)
Sarabandi, K., et al.: Extraction of power line maps from millimeter-wave polarimetric SAR images. IEEE Trans. on Antenna and Propagation 48(12), 1802–1809 (2000)
Sarabandi, K., et al.: Power lines: radar measurement and detection algorithm for polarimetric SAR images. IEEE Trans. on Aerospace and Electronic System 30(2), 4 (1994)
Yang, W., Zhang, H., Chen, J., et al.: Automatic Detection of Power Transmission Seriesin Full Polarimetric SAR Imagery. In: Radar Conference, 2007, IEEE, Boston (2007)
He, R.: Research on Spaceborne Synthetic Aperture Radar Interferometry Processing Technique. Doctoral Dissertation of Hunan University (2007)
Rui, H., et al.: New high resolution spaceborne SAR satellite: TerraSAR-X.Sciencepaper Online of China. Project of National Natural Science Fund of China (40772191)
Shiqi, H.: Research on Microwave Remote sensing SAR Military Detection Technology (2005)
Yan, L., et al.: Surveillance for 1000kV Transmission Tower Deformation Using High-resolution SAR Satellite. Project Supported by National Natural Science Fund of China (40604002), Programme of Introducing Talents of Discipline to Universities, B07037 (2009)
Yan, L.: Research on Detection Technology of 1000kV Transmission Lines and Tower Using High-resolution SAR Image. Doctoral Dissertation of Wuhan University (2009)
Yan, L., et al.: Monitoring Damage of State Grid Transmission Tower in Bad Weather by High-Resolution SAR Satellites. Geomatics and Information Science of Wuhan Uinversity 34(11) (November 2009)
Design of 1000kV Power Transmission Line in Japan. Guangdong Power Design Institute. Pan Chuping Lin Fangxing
Lichun, S., et al.: System and Applicationd of German Radar Satellite TerraSAR-X. Journal of Zhengzhou Institute of Surveying and Mapping 24(5) (October 2007)
Sui, L.: Active Radar and Lidar Remote Sensing. Surveying and Mapping Press, Beijing (2009)
Su, N.: Priciples of Microwave Remote Sensing. Wuhan Uinversity Press, Wuhan (2000)
Wei, J., et al.: Research on Methods of TerraSAR-X Image Direct Geolocation. Bulletin of Surverying and Mapping, 11–14 (September 2009)
Xia, K., et al.: Structual Analysis and Testing Research UHV AC Transmission Tower. High Voltage Engineering 33(11) (November 2007)
Xu, J., Xing, L., Pan, J.: The Application of Remote sensing Technology to the Route Selection of the High Voltage Transmission Lines. Remote Sensing Technology and Application 21(2), 168–172 (2006)
Xu, H.: Research on the Target Location of Space-borne Synthetic Aperture Radar Image. Graduate University of Chinese Academy of Sciences, Beijing (2005)
Li, Y., Li, Z.: Research on the Production and Accuracy Analysis of TerraSAR-X DOM. Bulletin of Surverying and Mapping (8), 1–3 (2010)
Wen, Y., et al.: Discussion on Interpretation of SAR Imagery. Space Electronic Technology (1) (2004)
Hong, Z., Chao, W., et al.: High Resolution SAR Imagery Target Recognition. Science Press, Beijing (2009)
Zhang, Y.: Synthetic Aperture Radar Imaging Geometry Understanding and Processing. Doctoral Dissertation of Wuhan University (2001)
Zhu, J.: Research on Data Fusion of High-Resolution Optical and SAR Image and Extraction of Typical Object. Graduate University of Chinese Academy of Sciences, Beijing (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, J., Chen, Q., Deng, S. (2013). Retracted: Analysis of Transmission Line’s Scattering Characteristics in High Resolution Radar Satelite Image. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_40
Download citation
DOI: https://doi.org/10.1007/978-3-642-45025-9_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45024-2
Online ISBN: 978-3-642-45025-9
eBook Packages: Computer ScienceComputer Science (R0)