| 最优路径的无人机影像拼接 |
| |
| 引用本文： | 何敬,李永树.最优路径的无人机影像拼接[J].测绘科学,2011,36(6):152-154. |
| |
| 作者姓名： | 何敬 李永树 |
| |
| 作者单位： | 西南交通大学地理信息工程中心,成都,610031 |
| |
| 基金项目： | “十一五”国家科技支撑计划重大项目(2006BAJ05A13) |
| |
| 摘 要： | SIFT算法是基于尺度空间的特征匹配方法,该算法为每个关键点指定了方向参数,具备旋转不变性,对图像倾斜的适应性很强.本文采用SIFT算法对无人机图像提取特征点,利用欧氏距离粗匹配,通过距离中误差精匹配.在对拼接误差原因分析的基础上,提出了采用最优路径的拼接方法来降低误差.
|
| 关 键 词： | 无人机影像 SIFT 最优路径 影像拼接 |
UAV image mosaic based on optimal path |
| |
| HE Jing,LI Yong-shu.UAV image mosaic based on optimal path[J].Science of Surveying and Mapping,2011,36(6):152-154. |
| |
| Authors: | HE Jing LI Yong-shu |
| |
| Institution: | (GIS Engineering Center of Southwest Jiaotong University,Chengdu 610031,China) |
| |
| Abstract: | SIFT algorithm is the feature matching method based on scale space,which specified direction parameter for each key point with rotational invariance,so it is adaptable for image tilt.The paper extracted the UAV image feature point with SIFT algorithm,coarsely matched images with Euclidean distance,and precisely matched through distance error.Based on the analysis of splicing errors,the optimal path method was proposed to reduce the error finally. |
| |
| Keywords: | UAV image SIFT optimal path image mosaic |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
