Research on the application of target detection based on deep learning technology in power grid operation inspection

Peng Weifu; Du Shu; Chen Shaolei; Zhou Qing; Tang Na

doi:10.1051/e3sconf/202123601035

All issues

Volume 236 (2021)

E3S Web Conf., 236 (2021) 01035

References

Open Access

Issue		E3S Web Conf. Volume 236, 2021 3^rd International Conference on Energy Resources and Sustainable Development (ICERSD 2020)


Article Number		01035
Number of page(s)		5
Section		Development, Utilization and Protection of Traditional Energy Resources
DOI		https://doi.org/10.1051/e3sconf/202123601035
Published online		09 February 2021

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[1] N. Dalal and B. Triggs, “Histograms of oriented gradients for human detection,”[C],2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), San Diego, CA, USA, 2005, pp. 886-893 vol. 1. [Google Scholar]

[2] Performance evaluation of texture measures with classification based on Kullback discrimination of distributions [C]. Ojala, T.; Pietikainen, M.; Harwood, D. Source: Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), p 582-5 vol.l, 1994 [Google Scholar]

[3] M. Pietikainen, S. Nieminen, E. Marszalec and T. Ojala, “Accurate color discrimination with classification based on feature distributions,” [C], Proceedings of 13th International Conference on Pattern Recognition, Vienna. Austria, 1996, pp. 833-838 vol.3. [Google Scholar]

[4] O. Penttinen, T. Pyssysalo and L. Ojala, “Performance analysis of adaptive video on demand using stochastic Petri nets,” [C]. Proceedings of the Thirtieth Hawaii International Conference on System Sciences, Wailea, HI, USA, 1997, pp. 119-124 vol.5. [Google Scholar]

[5] T. Ojala and M. Pietikainen, “Nonparametric multichannel texture description with simple spatial operators, “[C]. Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EXl70), Brisbane, Queensland, Australia, 1998, pp. 1052-1056 vol.2. [Google Scholar]