| 视觉驱动的变分配准方法 |
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| 引用本文： | 王慧贤,靳惠佳,雷呈强,江万寿,王艳.视觉驱动的变分配准方法[J].测绘学报,2015,44(8):893-899. |
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| 作者姓名： | 王慧贤 靳惠佳 雷呈强 江万寿 王艳 |
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| 作者单位： | 1. 中国科学院电子学研究所空间信息处理与应用系统技术重点实验室, 北京 100190;
2. 武汉大学测绘遥感信息工程国家重点实验室, 湖北 武汉 430079;
3. 军械工程学院电子与光学工程系, 河北 石家庄 050003;
4. 北京市遥感信息研究所, 北京 100192 |
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| 基金项目： | 国家973计划(2011CB707105)，国家863计划(2013AA12A301)，高分重大专项(GFZX0404040904)，长江学者和创新团队发展计划(IRT1278)Foundation support:The National Basic Research Program(973 program)(2011CB707105)，The National High Technology Research and Development Program(863 Program)of China(2013AA12A301)，National Science and Technology Major Project of the Ministry of Science and Technology of China in High Resolution Earth Observation Systems(GFZX0404040904)，Program for Changjiang Scholars and Innovative Research Team in University(IRT1278) |
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| 摘 要： | 针对传统整体配准模型不能充分顾及局部变形的问题,提出了一种视觉驱动的变分配准方法。该方法在变分模型建立中综合考虑了局部变换、整体平滑和视觉约束,同时兼顾了亮度和对比度差异。首先,基于灰度均方根误差建立配准模型的数据项;其次,为了保证整体平滑,模型采用H1半范数进行自适应约束;最后,为了保证影像中的空间属性满足视觉的要求,不能出现扭曲变形,采用直线特征进行先验约束。在变分模型求解过程中先利用整个影像估计影像之间的整体变换参数,然后采用小的邻域范围进行局部估计。整个过程在多水平差分框架下迭代求解变换参数,进而兼顾了整体平滑和局部变形。笔者利用ZY-3卫星数据进行了试验,采用目视和量化指标进行了评价,验证了本文方法的优越性。
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| 关 键 词： | 视觉驱动 变分理论 局部变形 影像配准 |
| 收稿时间： | 2014-05-27 |
| 修稿时间： | 2014-11-19 |
A Visually Inspired Variational Method for Automatic Image Registration |
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| WANG Huixian,JIN Huijia,LEI Chengqiang,JIANG Wanshou,WANG Yan.A Visually Inspired Variational Method for Automatic Image Registration[J].Acta Geodaetica et Cartographica Sinica,2015,44(8):893-899. |
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| Authors: | WANG Huixian JIN Huijia LEI Chengqiang JIANG Wanshou WANG Yan |
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| Institution: | 1. Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
3. Electronic & Optical Engineering Department, Mechanical Engineering College, Shijiazhuang 050003, China;
4. Institute of Information in Remote Sensing in Beijing, Beijing 100192, China |
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| Abstract: | A visually inspired variational method for automatic image registration is proposed to solve local deformation which traditional global registration model cannot well satisfy.The variational model considers local transformation, global smoothness and visual constraints.To account for intensity variations,we incorporate change of local contrast and brightness into our model.Firstly,the data entry of registration model is built according to the root-mean-square error of intensity;secondly,adaptive constraint using H1 half norm is used to ensure the global smooth in the model;finally,in order to make sure that the spatial attributes of the image satisfy the visual requirements and without distortion,the linear features are used as priori constraints.During the solution of model parameters,the whole image is used to global ly estimate the transformation parameters,and then local estimation of the parameters is taken in a small neighbor.The entire procedure is built upon a multi-level differential framework,and the transformation parameters are calculated iteratively,which can consider both global smoothness and local distortion.To assess the quality of the proposed method,ZY-3 satellite images were used.Visual and quantitative analysis proved that the proposed method can significantly improve the registration precision. |
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| Keywords: | visually inspired variational theory local distortion image registration |
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