| 基于NCC的快速匹配算法 |
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| 引用本文： | 孙卜郊,周东华. 基于NCC的快速匹配算法[J]. 传感器与微系统, 2007, 26(9): 104-106 |
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| 作者姓名： | 孙卜郊 周东华 |
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| 作者单位： | 清华大学,北京,100084 |
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| 基金项目： | 国家自然科学基金 , 国家重点基础研究发展计划(973计划) |
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| 摘 要： | 景象匹配在地形辅助导航中具有十分重要的地位,归一化互相关(NCC)技术是一种相对抗噪声能力强、匹配准确的匹配算法,因此,在导航制导中广泛应用。但由于其运算量比较大,对于要求实时匹配的地形辅助导航系统来说,其运算速度需要进一步提高。在NCC方法的基础上,把卷积用于景象匹配,大大简化并提高了NCC的匹配速度。仿真实验证明了此方法的快速性和有效性。
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| 关 键 词： | 景象匹配 归一化互相关 卷积 快速性 |
| 文章编号： | 1000-9787（2007）09-0104-03 |
| 修稿时间： | 2007-02-20 |
Fast matching method based on NCC |
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| SUN Bo-jiao,ZHOU Dong-hua. Fast matching method based on NCC[J]. Transducer and Microsystem Technology, 2007, 26(9): 104-106 |
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| Authors: | SUN Bo-jiao ZHOU Dong-hua |
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| Affiliation: | Department of Automation, Tsinghua University, Beijing 100084, China |
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| Abstract: | Image registration plays an important role in terrain-aided navigation system.Normalized cross correlation method(NCC)is a relatively good method with anti-noise ability and precise.It is widely used in the navigation system.Because the computing quantity is huge,it needs to be improved in order to satisfy the fastness of navigation.A method based on NCC and convolution is proposed.It becomes much more fast.Experimental results verify its efficiency and fastness. |
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| Keywords: | image registration normalized cross correlation method(NCC) convolution fastness |
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