| 基于多传感器图像融合技术的鲁棒景象匹配算法 |
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| 引用本文： | 刘宝生,闫莉萍,周东华.基于多传感器图像融合技术的鲁棒景象匹配算法[J].传感器与微系统,2006,25(9):82-85. |
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| 作者姓名： | 刘宝生 闫莉萍 周东华 |
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| 作者单位： | 1. 清华大学,自动化系,北京,100084;空军装备研究院,北京,100085
2. 清华大学,自动化系,北京,100084 |
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| 基金项目： | 国家自然科学基金
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国家重点基础研究发展计划(973计划) |
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| 摘 要： | 将多个传感器获取的具有不同大小、不同分辨力和不同信噪比的实时图基于Kalm an滤波的方法进行融合,以提高实时图的性能;搜索融合后的实时图在基准图中的位置达到目标定位之目的,即进行景象匹配。在景象匹配过程中,选用归一化互相关系数作为相似性度量。多组实验与分析表明:所介绍的基于多传感器图像融合技术的景象匹配算法可以有效地解决实时图存在部分遮挡、灰度与对比度变化以及复杂噪声干扰等影响下的景象匹配问题。
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| 关 键 词： | 图像融合 景象匹配 鲁棒 部分遮挡 灰度 对比度 |
| 文章编号： | 1000-9787（2006）09-0082-04 |
| 收稿时间： | 2006-02-24 |
| 修稿时间： | 2006年2月24日 |
Robust scene matching method based on multi-sensor image fusion |
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| LIU Bao-sheng,YAN Li-ping,ZHOU Dong-hua.Robust scene matching method based on multi-sensor image fusion[J].Transducer and Microsystem Technology,2006,25(9):82-85. |
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| Authors: | LIU Bao-sheng YAN Li-ping ZHOU Dong-hua |
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| Affiliation: | 1. Department of Automation, Tsinghua University, Beijing 100084, China; 2. Equipment Academy of Airforce, Beijing 100085, China |
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| Abstract: | By fusing the sensed images obtained from multiple sensors with different size, different resolutions and different SNR,tbe performance of the sensed image is improved. By searching the position of the fused sensed image in the reference image,the scene matching is fulfilled. During the process,the normalized cross correlation function is used as the similarity measure. Multiple experiments and theoretical analysis demonstrate that the method is effective even when the sensed images are polluted by partial occlusion, intensity or contrast changes and complex noise corruptions. |
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| Keywords: | image fusion scene matching robust partial occlusion intensity contrast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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