Daiyong Yang
ABSTRACT
The accurate registration of insulator multispectral images is an important prerequisite for high-quality online evaluation of the status of transmission line insulators using multi-lens cameras carried by drones. An insulator multispectral image registration model based on SuperPoint feature point extraction algorithm and SuperGlue feature matching algorithm was constructed in this paper. Then, a multi-lens multispectral camera was used to collect multispectral image information of insulators from different angles, lighting conditions, and spectral bands, and comprehensive mutual information was introduced as an index to analyze and compare common traditional image registration models and the model constructed in this paper. Finally, a decision model for insulator multispectral image matching was constructed, providing a key prerequisite for evaluating insulator status using multispectral images.
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