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利用改进的SUSAN算法提取航空影像中孤立的特征点
引用本文:杜艺,龚循平.利用改进的SUSAN算法提取航空影像中孤立的特征点[J].测绘科学,2011,36(6):131-132,94.
作者姓名:杜艺  龚循平
作者单位:中国测绘科学研究院,北京,100039
摘    要:本文针对地形起伏较大、无明显建筑物的航空影像,分析了SUSAN算法角点检测理论,提出一种提取孤立特征点的方法.该方法先对图像进行梯度幅值运算,然后对梯度幅值进行Otsu法阈值分割,设计模板并对孤立特征点进行套合,最后利用SUSAN算法计算原始影像的角点初始响应,经过非极大值抑制提取孤立特征点.经实骑证明,与传统的Har...

关 键 词:特征点提取  SUSAN算法  角点检测  阈值分割

Extracting isolated feature points in aerial images by using improved SUSAN algorithm
DU Yi,GONG Xun-ping.Extracting isolated feature points in aerial images by using improved SUSAN algorithm[J].Science of Surveying and Mapping,2011,36(6):131-132,94.
Authors:DU Yi  GONG Xun-ping
Institution:(Chinese Academy of Surveying and Mapping,Beijing 100039,China)
Abstract:The paper analyzed the theory of SUSAN algorithms for the aerial images with obvious terrain changes and almost without architectural buildings,developed a method of extracting isolated feature points.Firstly,the method computed the gradient magnitude,made a threshold segmentation using Otsu,then designed a template to cover the segmentation result and gave the initiated values,finally computed the corner measurement on the original images using SUSAN algorithm,and got the isolated feature points after the non-maximum suppression.The experiment demonstrated that the external conditions including terrain changes,Solar elevation angle and shift of viewpoint had a little effect on the points,which made a full preparation for the next matching step.
Keywords:feature points extraction  SUSAN algorithm  corner detection  threshold segmentation
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