摘要
本章论述了基于互信息的是单幅影像与LIDAR数据的配准方法。本方案是基于两幅图像灰度值的配准方法,即利用LIDAR数据生成的强度图像,实现与航空影像的配准。虽然两种传感器得到图像的灰度值有较大差异,且不成线性关系,通过引入互信息,可以将穷举的搜索问题变成基于相似性测度函数的优化问题。实验表明互信息准则对于航空影像与LiDAR数据之间是有效的。
This paper describes an algorithm framework for automatic registration of airborne based laser scanning data （LIDAR） and optical images by using mutual information. The part on methodology describes aspects such as preprocessing of images, intensity value interpolation, optimization, adaptations to the mutual information measure, and different types of geometrical transformations. In addition to the theoretical method , the paper presents a experimental analysis based on the quality of fit of final alignment between the LIDAR and digital cameras. With the framework presented in this paper we can align laser scanned data and images in a more efficient and reliable way.
出处
《测绘科学》
CSCD
北大核心
2009年第6期51-52,34,共3页
Science of Surveying and Mapping
基金
国家863计划(2007AA12Z154)
