重庆理工大学学报（自然科学版）2017，Vol.31Issue(11)：192-197,6.DOI:10.3969/j.issn.1674-8425(z).2017.11.029
基于HOG特征和滑动框搜索的地面油气管道检测方法
Ground Oil and Gas Pipeline Detection Method Based on HOG Characteristic and Sliding Box Search
摘要
Abstract
A ground oil and gas pipeline detection method based on HOG features and sliding frame search is proposed,which can detect the ground oil pipeline in the high resolution unmanned aerial vehicle (UAV) patrol image rapidly,efficiently and accurately.The method firstly extracts the HOG features of the pipeline and non pipeline image samples,and uses the obtained features as the sample data to train the gas pipeline detection classifier.The trained classifier is used for automatic detection of UAV pipeline images.And using a sliding frame with a certain size to scan the whole patrol line image of the UAV,it extracts the HOG feature in the sliding box,and inputs it into the trained classifier to determine whether the window is a duct and mark it.In order to verify the effectiveness of the proposed method,this method is applied to automatic detection of oil and gas pipelines on 235high resolution aerial images,and the detection accuracy is 84.7％.关键词
无人机/HOG特征/滑动框搜索/支持向量机/地面油气管道检测Key words
UAV/HOG characteristics/sliding frame search/support vector machine/ground oil and gas pipeline detection分类
信息技术与安全科学引用本文复制引用
雍歧卫,喻言家,陈雁..基于HOG特征和滑动框搜索的地面油气管道检测方法[J].重庆理工大学学报（自然科学版）,2017,31(11):192-197,6.基金项目
国家自然科学基金资助项目(51475469) （51475469）
