摘要
影像数据具有连续、直观、容易判别、高分辨率的特点,能够反映出地表的真实纹理信息,与离散的激光点云数据配合可以相互补充;因此将点云与图像数据进行融合,具有很强的现实意义;首先介绍了整套无人机激光数据采集系统,讨论了具有尺度不变性的sift图像拼接算法,接着提出了一种基于点特征的直接线性变换方法;经实验证明,该方法实现了三维点云与二维影像数据的融合,使每个点云数据都具有真实的RGB颜色信息,并且取得了良好的效果。
Area--array data with continuous, intuitive, easy to distinguish, the characteristics of high resolution, can reflect the real texture information on the surface of the earth, which cooperate with discrete laser point cloud data can complement each other. Thus it makes sense to combine point clouds to area--array data. This paper first introduces a complete set of unmanned aerial vehicle （UAV） laser data acquisition system, discusses the Sift image stitching algorithm characterized with scale invariant feature, then proposes a direct linear transformation method based on point feature, the experiment proved that the method realizes the 3D point cloud with the 2D image data fu- sion, enables each point cloud data has the real RGB color information, and achieves good result.
出处
《计算机测量与控制》
北大核心
2014年第2期607-610,共4页
Computer Measurement &Control
基金
国家自然科学基金重点项目(60736024)
教育部科技创新工程重大项目培育资金项目(708069)
广州市科技支撑计划(2009Z2-D161)
