| 引用本文: | 李想,朱遵尚,尚洋,等.方向矩异源图像匹配算法.[J].国防科技大学学报,2015,37(1):153-158.[点击复制] |
| LI Xiang,ZHU Zunshang,SHANG Yang,et al.Multimodal image registration based on orientation-moment[J].Journal of National University of Defense Technology,2015,37(1):153-158[点击复制] |
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| 方向矩异源图像匹配算法 |
| 李想1,2, 朱遵尚1, 尚洋1, 于起峰1 |
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(1.国防科技大学 航天科学与工程学院，湖南 长沙 410073;2. 中国人民解放军95835部队，新疆 乌鲁木齐 841700)
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| 摘要: |
| 全天候高精度导航与制导需要可靠的可见光与红外、可见光与合成孔径雷达（Synthetic Apeture Radar,SAR）的异源图像匹配算法。提出了一种基于方向矩的异源图像匹配算法：利用像素层次设计异源不变特征，描述像素点与其邻域各方向相似程度，通过统计比较各像素的相似性测度，实现不同传感器图像间的可靠匹配。进行了批量图像匹配实验，在可见光与红外、可见光与SAR异源图像间取得了超过90%的匹配正确率。较传统异源匹配算法，该算法大大提高了匹配正确率，在导航与制导领域有广阔的应用前景。 |
| 关键词: 异源图像 图像匹配 景象匹配 红外 合成孔径雷达 方向矩 |
| DOI：10.11887/j.cn.201501026 |
| 投稿日期：2014-05-06 |
| 基金项目: |
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| Multimodal image registration based on orientation-moment |
| LI Xiang1,2, ZHU Zunshang1, SHANG Yang1, YU Qifeng1 |
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(1.College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073， China;2.
2.The PLA Unit 95835, Wulumuqi 841700,China)
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| Abstract: |
| Multimodal image registration between visible, infrared and SAR images is the key technology to all-weather high-precision navigation and guidance. Based on an invariant feature designed at the pixel level, the orientation-moment, which describes the similarity of a pixel with its neighbors in different orientation, a multimodal image registration algorithm, that matches multisensor images by analyzing such similarities, is proposed. In matching tests, including visible, infrared and SAR images, it has reached a success rate of more than 90%. Comparing with traditional multimodal image registration algorithms, this method greatly improved the success rate, and had broad application prospects in navigation and guidance. |
| Keywords: multimodal image image registration scene matching infrared synthetic aperture radar orientation-moment |
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