【摘要】 随着无人机在测绘领域的广泛应用,航摄影像处理已成为国内外关注的热点。为寻求更适合航摄影像特征点提取的算法,对目前国内外几种常用特征点提取算法进行对比分析,结果表明,Moravec算子相较于其它算子,原理最为简单,但图像处理效果不佳。为此,利用C#工具实现Moravec算子,并通过图像处理实验,从计算速度、提取质量、定位精度、抗噪能力等方面对其进行全面分析,得出该算子在提取质量、定位精度与抗噪能力等方面均性能较差,该结论为今后对其优化改进提供了明确的研究方向。更多还原

【Abstract】 With the wide application of UAV in the field of surveying and mapping,aerial image processing has become a hot topic at home and abroad. In order to find an algorithm suitable for feature extraction of aerial photography features,this paper extracts several common feature points at home and abroad. The algorithm performs in-depth comparative analysis and research. The results show that the Moravec operator algorithm is the simplest compared to other algorithm principles,but the image processing effect is not good. For this reason,for the performance of Moravec operator,the operator implementation is carried out by using C# tool,and the experimental research of image processing is carried out by using this operator. From the aspects of calculation speed,extraction quality,positioning accuracy and anti-noise ability,The analysis shows that the operator has poor performance in terms of extraction quality,positioning accuracy and anti-noise ability. This conclusion provides a clear research direction for the algorithm of optimizing Moravec operator in the future.更多还原