| 面向建筑物变形监测的图像量测技术 |
| |
| 引用本文： | 魏怡,许业波,张伟,谢绍敏,王济民.面向建筑物变形监测的图像量测技术[J].测绘通报,2022,0(12):35-41. |
| |
| 作者姓名： | 魏怡 许业波 张伟 谢绍敏 王济民 |
| |
| 作者单位： | 1. 武汉理工大学自动化学院, 湖北 武汉 430070;2. 广州港工程管理有限公司, 广东 广州 510730 |
| |
| 基金项目： | 国家自然科学基金面上项目（51177114）；湖北省技术创新重大专项（2019AAA016） |
| |
| 摘 要： | 本文面向建筑物变形监测，设计并开发了一整套可对远距离、室外成像的标志中心进行精确定位的新技术，其重点在于整像素边缘定位和数据质量控制。提出了最大梯度投影概念，以最大梯度投影替代传统梯度算子计算标志的整像素边缘，并在此基础上提出改进的边缘细化算法，同时引入曲率筛选方法，形成一整套整像素边缘定位新技术，规避室外成像环境的不确定干扰，以获取完整、准确的整像素细化边缘。在亚像素中心定位后，以统计理论为框架设计了一套数据质量控制机制，筛选并保留满足统计限值的定位结果参与最终的定位计算，有效控制了相机拍照时轻微晃动给中心定位引入的误差。在不同的自然环境、背景及摄程下进行实测，结果表明，该图像定位方法具有定位性能稳定、定位精度高、处理速度快、对成像设备要求低、对室外环境适应性强等优势。使用标配镜头的主流单反相机，200 m摄程内的标志中心定位精度在3.5 mm内，可应用于建筑物变形监测。
|
| 关 键 词： | 建筑物变形监测 最大梯度投影 边缘细化 曲率 数据质量控制 |
| 收稿时间： | 2021-12-07 |
Image measurement technique for building deformation monitoring |
| |
| WEI Yi,XU Yebo,ZHANG Wei,XIE Shaomin,WANG Jimin.Image measurement technique for building deformation monitoring[J].Bulletin of Surveying and Mapping,2022,0(12):35-41. |
| |
| Authors: | WEI Yi XU Yebo ZHANG Wei XIE Shaomin WANG Jimin |
| |
| Institution: | 1. School of Automation, Wuhan University of Technology, Wuhan 430070, China;2. Guangzhou Port Engineering Management Co., Ltd., Guangzhou 510730, China |
| |
| Abstract: | This paper designs a new set of algorithms to locate centers of artificial marks pictured from long distance in an outdoor environment, and applies it to complete the building deformation monitoring tasks. This paper aims at pixel-level edge positioning and data quality control. It firstly proposes the maximum gradient projection notation to obtain the pixel-level edge of a mark. An improved edge thinning method is then presented and the curvature is introduced for further screening. A novel pixel-level edge positioning process is formed based on the above three steps to achieve a complete and accurate thinning edge and also able to avoid interferences from outdoor condition. A data quality control mechanism is then designed based on the statistical theory after the sub-pixel center localization. Only those localization results which meet the statistical requirement are kept to participate in the final calculation. The negative effects caused by the shaking of the imaging equipment can thus be controlled. Experiments are conducted in various environment with different background and photographic ranges. The results prove the image measurement method presented in this paper shows its advantage in stable and accurate localization capability, fast processing speed, low requirement for imaging equipment, and strong adaption to outdoor environment. Using a mainstream SLR camera with a standard lens, its positioning accuracy is less than 3.5 mm within 200-meter photographic range and therefore can be used in real building deformation monitoring scenarios. |
| |
| Keywords: | building deformation monitoring maximum gradient projection edge thinning curvature data quality control |
|
| 点击此处可从《测绘通报》浏览原始摘要信息 |
| 点击此处可从《测绘通报》下载免费的PDF全文 |
