QQ客服 官方微博 反馈留言

浏览/检索结果: 共3条，第1-3条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Improved techniques for multi-view registration with motion averaging 会议论文 作者:  Li, Zhongyu;  Zhu, Jihua;  Lan, Ke;  Li, Chen;  Fang, Chaowei 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/02 Accurate registration  Improved techniques  Iterative Closest Points  Lie Algebra  Multi-view registration  Parallel Computation  Public data  Relative motion   A new accurate and fast algorithm of sub-pixel image registration (EI CONFERENCE) 会议论文 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China Lu J.; He B. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 In terms of large field view and multi-channel TDICCD remote sensing images  previous interpolation methods and curve fitting methods are not able to achieve the high accuracy and fast registration  and their noise immunity and robustness is not high. For that  this paper presents a more accurate and faster method  iterative pixel interpolation and surface fitting method. Firstly  the method uses the some overlapping pixels between multi-channel images. Secondly  the proposed technique  which is based on the maximization of the correlation coefficient function  combines an efficient pixel-moving interpolation scheme with surface fitting  which makes use of accurate interpolation calculation and fast surface fitting in the iterative process. Finally  the accuracy and speed of the algorithm is evaluated by sub-pixel registration of multi-channel images and comparison with other sorts of efficient methods. The experiment results show that the accuracy of the method reaches 0.01 pixels and it is 3 times faster than the interpolation method. In the registration of large field view and multi-channel TDICCD images  the method is accurate and fast  with greatly high stability  noise immunity and robustness. 2010 IEEE.   Modelling for registration of remotely sensed imagery when reference control points contain error SCI/SSCI论文 2006 作者:  Ge Y. 收藏  |  浏览/下载：13/0  |  提交时间：2012/06/08 error modelling  registration  ordinary least squares  relaxed  consistent adjusted least squares  remote sensing images  accurate geometric correction  misregistration