基于侧抑制竞争的航空遥感影像配准算法

Registration algorithm of aerial remote sensing images based on lateral inhibition competition

图像配准是图像镶嵌、图像融合和目标定位等的核心技术。针对航空遥感影像中存在的特征信息匮乏以及不确定性灰度变化的问题，提出了一种基于侧抑制竞争的航空遥感影像配准算法，该方法利用侧抑制竞争的基本思想，首先检测出基准图像与待配准图像的暗特征点和亮特征点，然后利用特征匹配策略匹配两幅图像中同类性质的点特征，合并匹配点对集，最后计算出图像的变换模型，完成图像的配准工作。实验结果表明，该方法配准精度高、速度快，能够稳定并快速地完成可见光航空遥感影像的配准，解决了特征不明显的航空影像问配准成功率低的问题。

Image registration is a key step in image mosaic, image fusion and object localization. Given the problem that the aerial remote sensing images may have the uncertainty in image gray level and may be lack of feature information, a registration algorithm of aerial remote sensing images based on lateral inhibition competition was proposed, Firstly, the bright feature points and dark feature points of the reference image and the under registration image were detected with the basic idea of lateral inhibition competition. Then, the similar nature feature points of two images were combined with feature matching strategy and the matching-points sets was shaped, At last, the image transform model was calculated and the images were registered. A new thinking was provided for image registration. Comparing with the traditional feature registration algorithm, the experimental results show that the proposed algorithm has better registration, the aerial remote sensing images can be registered effective. Some conclusions are obtained through the analysis and explanation of the experimental data, which lay a solid foundation for further research.