文章基本信息

标题：Detection for Power line Inspection
本地全文：下载
作者：Bing Han ; Bing Han ; Xiaoyu Wang 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2017
卷号：100
页码：1-7
DOI：10.1051/matecconf/201710003010
语种：English
出版社：EDP Sciences
摘要：Power line inspection is very important for electric company to keep good maintenance of power line infrastructure and ensure reliable electric power distribution. Research efforts focus on automating the inspection process by looking for strategies to satisfy all kinds of requirements. Following this direction, this paper proposes a learning approach for all kinds of detecting problems, where aggregate channel features are used to train the boost classifier. Adopting the sliding window paradigm, the electric tower, insulator and nest can be located very fast. The main advantage of this approach is its efficiency and accuracy for processing huge quantity of image data. Obtaining highly encouraging results shows that it is really a promising technique.
关键词：Power line;inspection;aggregate channel features