| 基于线特征的改进MIHT遥感影像配准算法 |
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| 引用本文： | 陈新玺,李浩. 基于线特征的改进MIHT遥感影像配准算法[J]. 测绘科学, 2008, 33(1): 91-92. DOI: 10.3771/j.issn.1009-2307.2008.01.028 |
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| 作者姓名： | 陈新玺 李浩 |
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| 作者单位： | 河海大学土木工程学院测绘工程系,南京,210024;河海大学土木工程学院测绘工程系,南京,210024 |
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| 摘 要： | MIHT(Modified Iterated Hough Transform)方法用于影像配准时,具有以直线段作为配准基元、线段之间不需同名关系等优点,同时亦存在着收敛速度慢、计算费时等不足。针对MIHT算法的缺点,提出将选权迭代最小二乘法引入到计算过程中,并且文中给出改进算法的具体实施流程。实验证明,与原算法相比较,改进算法的收敛速度和可靠性都有了明显的提高。
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| 关 键 词： | 线特征 MIHT 影像配准 选权迭代最小二乘法 |
| 文章编号： | 1009-2307（2008）01-0091-02 |
| 收稿时间： | 2006-11-02 |
| 修稿时间： | 2006-11-02 |
Line-based improved MIHT registration algorithm for remote sensing imagery |
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| CHEN Xin-xi,LI Hao. Line-based improved MIHT registration algorithm for remote sensing imagery[J]. Science of Surveying and Mapping, 2008, 33(1): 91-92. DOI: 10.3771/j.issn.1009-2307.2008.01.028 |
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| Authors: | CHEN Xin-xi LI Hao |
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| Abstract: | MIHT(Modified Iterated Hough Transform) is an image registration algorithm.It has advantages as straight-line primitives and none demands for correspondence between lines, while it also has a disadvantage as slow convergence.In order to overcome this shortcoming, an improved method that embraces MIHT and Huber Variable Weight Iteration Least Square Adjustment is brought forward.The workflow is introduced in detail.Moreover, experiments prove that the proposed registration method has obviously higher convergent speed and thus higher reliability for image registration. |
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| Keywords: | line feature MIHT image registration Huber Variable Weight Iteration Least Square Adjustment. |
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