Visual detection method for surface contamination level of insulators based on map characteristics
A pollution level and detection method technology, applied in the direction of color/spectral characteristic measurement, analysis materials, instruments, etc., can solve the problem that the pollution level and its distribution on the surface of insulators are difficult to measure, and achieve the effect of convenient operation
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Embodiment 1
[0033] Embodiment 1 of the present invention: the present invention provides a visual detection method based on map features of insulator surface pollution level, hyperspectral imaging based on hyperspectral instrument is at nanoscale spectral resolution, can be in the ultraviolet to near infrared (200 ~ 2252nm) within the spectral coverage range, the object is continuously imaged with dozens to hundreds of wavelengths at the same time, and the spatial information, spectral information, and light intensity signal of the object are simultaneously obtained. At present, the target detection and classification technology based on hyperspectral remote sensing has been widely used in the fields of cultural relic damage detection, ground object classification, environmental monitoring, and external insulation aging analysis. Hyperspectral remote sensing uses the multi-band spectral signals of the target object, uses the spectral information in the hyperspectral cube image, and combine...
Embodiment 2
[0060] Embodiment 2: The content of this embodiment is basically the same as that of Embodiment 1. The difference is that step S2 in this embodiment adopts the least squares support vector machine (Least Squares Support Vector Machine, LSSVM) algorithm to establish a pollution level recognition model.
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