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目前无人机原始影像拼接效率不高,影响了应急指挥和应用。针对此问题,本文通过分析影像特点,提出应用改进SIFT算法和GIS组件技术实现拼接系统的方法:为消除无控制点原始影像拼接的误差累积问题,提出双向与分区拼接,旋转与缩放纠正等拼接策略,并利用GIS影像管理方法实现影像坐标连接和综合应用。实验表明,拼接方法既保证了拼接的精度,又提高了拼接的效率和实际应用价值。
At present, the UAV original video mosaic efficiency is not high, affecting the emergency command and application. To solve this problem, this paper analyzes the characteristics of the image and proposes a method of using the improved SIFT algorithm and GIS component technology to achieve the stitching system. In order to eliminate the error accumulation problem of the original image splicing without control points, two-way splicing, zigzag rotation, Strategy, and using GIS image management methods to achieve image coordinate connection and comprehensive application. Experiments show that the splicing method not only ensures the accuracy of splicing, but also improves the efficiency and practical value of splicing.