基于车载遥感影像的高速公路广告牌破损检测方法及应用

doi:10.13474/j.cnki.11-2246.2023.0105

测绘通报 ›› 2023, Vol. 0 ›› Issue (4): 59-63,98.doi: 10.13474/j.cnki.11-2246.2023.0105

基于车载遥感影像的高速公路广告牌破损检测方法及应用

朱建伟^1,2, 李朝奎^1,2, 周新邵³, 赵丁莹⁴, 傅开鸿^1,2

1. 湖南科技大学测绘遥感信息工程湖南省重点实验室, 湖南湘潭 411201;
2. 湖南科技大学地理空间信息技术国家地方联合工程实验室, 湖南湘潭 411201;
3. 湖南城市学院信息与电子工程学院, 湖南益阳 413000;
4. 湘潭大学土木工程与力学学院, 湖南湘潭 411201

收稿日期:2022-06-24 发布日期:2023-04-25
通讯作者: 李朝奎。E-mail:616059644@qq.com
作者简介:朱建伟(1997—),男,硕士,主要研究方向为图像处理与遥感应用。E-mail:2697187122@qq.com
基金资助:
国家自然科学基金(42171418);湖南省自然科学基金创新群体项目(2020JJ1003);湖南省高新技术产业科技创新引领计划项目(2021GK4001)

Research and application of damage detection of highway billboard damage based on vehicle-mounted remote sensing image

ZHU Jianwei^1,2, LI Chaokui^1,2, ZHOU Xinshao³, ZHAO Dingying⁴, FU Kaihong^1,2

1. National and Local Joint Engineering Laboratory of Geospatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China;
2. Hunan Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China;
3. School of information and electronic engineering, Hunan City University, Yiyang 413000, China;
4. School of Civil Engineering and Mechanics, Xiangtan University, Xiangtan 411201, China

Received:2022-06-24 Published:2023-04-25

摘要/Abstract

摘要： 现行高速公路广告牌通过人工巡检的管理方式存在低效与交通安全问题,本文提出了一种以车载遥感广告牌影像破损识别为技术支撑的高速公路广告牌巡检新方法。该方法基于改进的SIFT算法和RANSAC算法,在SIFT高斯差分空间极值点选取之前,通过离散余弦变换将描述图像的光强信号转换为频谱信号,同时进行门限操作筛除高频系数,以此提高初始内点集的质量。采用单适应矩阵与RANSAC算法构建透视变换测试模型,计算最佳匹配点后进行精匹配,求取两张互相作差的影像之和,标记并提取迥异的连通域。试验结果表明,本文算法在广告牌破损检测中表现稳健,在多种干扰条件下,检测精度均超过80%,满足高速路广告牌破损监测的应用需求。研究成果为我国高速公路管理及相关部门及时有效地识别、更新、维护高速公路广告牌提供了一种新的技术支撑。

关键词: 车载遥感, SIFT, RANSAC, 高速公路广告牌, 破损检测

Abstract: There is an inefficient and dangerous problem in the current manual inspection method of highway billboard management, and a new method of highway billboard inspection is proposed with the identification of damaged images of vehicle remote sensing billboards as the technical support. Based on the improved SIFT algorithm and the RANSAC algorithm, the method passes the discrete cosine transform before the extremum points of the SIFT Gaussian differential space are selected. Transform converts the light intensity data of the image into spectral data and performs a gating operation to screen out the high frequency coefficients while improving the quality of the initial set of inner points. Using RANSAC to calculate the perspective transformation model parameters for fine matching, and then adapt the matrix alignment to the opposite, the sum of the two images that are different from each other is determined, and the different connectivity domains are marked and extracted. Experimental results show that the performance of the proposed improved algorithm in the detection of billboard damage is robust, and the detection accuracy is more than 80% under the interference of various conditions, which meets the application requirements of this direction. The research results provide a new original technical support for Chinese highway management and related departments to identify, update and maintain highway billboards in a timely and effective manner.

Key words: vehicle remote sensing, SIFT, RANSAC, highway billboard, breakage detection

中图分类号:

P237

朱建伟, 李朝奎, 周新邵, 赵丁莹, 傅开鸿. 基于车载遥感影像的高速公路广告牌破损检测方法及应用[J]. 测绘通报, 2023, 0(4): 59-63,98.

ZHU Jianwei, LI Chaokui, ZHOU Xinshao, ZHAO Dingying, FU Kaihong. Research and application of damage detection of highway billboard damage based on vehicle-mounted remote sensing image[J]. Bulletin of Surveying and Mapping, 2023, 0(4): 59-63,98.

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基于车载遥感影像的高速公路广告牌破损检测方法及应用

Research and application of damage detection of highway billboard damage based on vehicle-mounted remote sensing image

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