| 无人机地标匹配定位技术研究 |
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| 引用本文： | 赵红,毕义明,韩先峰.无人机地标匹配定位技术研究[J].系统工程与电子技术,2003,25(7):870-872. |
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| 作者姓名： | 赵红 毕义明 韩先峰 |
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| 作者单位： | 1. 西北工业大学,821信箱,陕西,西安,710072
2. 西北工业大学,821信箱,陕西,西安,710072;西安第二炮兵工程学院基础部,陕西,西安,710025 |
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| 摘 要： | 从模式识别的观点给出地标匹配算法的数学模型。分析了影响匹配算法性能的相关因素。把归一化相关景象匹配法引入到无人机地标匹配中。仿真实验结果表明 :在信噪比较低的情况下 ,此算法能满足地标定位要求 ,并且在景象匹配搜索中应用遗传算法大大减少了计算机的运算量 ,提高了地标匹配的实时性
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| 关 键 词： | 无人机 图像匹配 遗传算法 |
| 文章编号： | 1001-506X(2003)07-0870-03 |
| 修稿时间： | 2002年4月16日 |
Research on Landmark Matching for an Unmanned Aerial Vehicle |
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| ZHAO Hong\,BI Yi ming\\{,\},HAN Xian feng\\{,\}.Research on Landmark Matching for an Unmanned Aerial Vehicle[J].System Engineering and Electronics,2003,25(7):870-872. |
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| Authors: | ZHAO Hong\ BI Yi ming\\{ \} HAN Xian feng\\{ \} |
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| Institution: | ZHAO Hong\+1,BI Yi ming\+\{1,2\},HAN Xian feng\+\{1,2\} |
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| Abstract: | A mathematic model for landmark matching is proposed based on pattern recognition methods. The relevant aspects that influence the performance of matching algorithm are analyzed. Normalized correlative reference image matching is employed in landmark matching. After sufficient simulation experiments, the following conclusion is made: The algorithm can meet the requirements for landmark positioning at a low signal to noise ratio. In addition, the genetic algorithm is used in the image-matching search. The analysis of the computational complexity in the experiments is presented. The results prove that this method can reduce the computation load greatly. Thus, the real time ability is improved. |
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| Keywords: | Unmanned aerial vehicle Image matching Genetic algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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