Choice of Spectral Range for Devices for Remote Sensing of Power Lines
- DOI
- 10.2991/ciggg-18.2019.51How to use a DOI?
- Keywords
- multispectral device; power line; optimality criterion; detection; contrast; spectral
- Abstract
This article describes the basic methodological aspects of designing multispectral optoelectronic devices for the remote inspection of overhead power lines. A method for selecting operating spectral areas for these devices was suggested on the basis of the proposed detection criteria. The proposed method considers physical phenomena that occur during the visual inspection and detection of objects. It allows the rational selection of operating areas of a multispectral device, including the number, width, and location of these areas in the optical spectrum. The author determines that effect of the spectral area width on object detection probability can be estimated by the correlation between spectral and integral contrasts. The optimal operating areas for multispectral devices with direct image visualization are selected according to the developed method. The solution of the optimization problems suggests that the detection of the standard overhead power lines requires images to be formed in the following spectral areas: when power lines are located against the background of the green vegetation - 725…775 nm, 825…875 nm, 475…575 nm, 375…425 nm; and against a softwood forest - 625…675 nm, 375…425 nm, 875…925 nm. In addition, the study describes methods for estimating their efficiency and provided the simulation results of the operation process.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Vadim Shpenst PY - 2019/03 DA - 2019/03 TI - Choice of Spectral Range for Devices for Remote Sensing of Power Lines BT - Proceedings of the VIII Science and Technology Conference “Contemporary Issues of Geology, Geophysics and Geo-ecology of the North Caucasus” (CIGGG 2018) PB - Atlantis Press SP - 271 EP - 274 SN - 2352-5401 UR - https://doi.org/10.2991/ciggg-18.2019.51 DO - 10.2991/ciggg-18.2019.51 ID - Shpenst2019/03 ER -