电光与控制, 2017, 24 (1): 41, 网络出版: 2017-02-09
一种基于Facet模型的SAR图像特征点检测算法
A Feature Point Extraction Approach of SAR Image Based on Facet Model
合成孔径雷达 特征点提取 Facet模型 二阶方向导数 SAR feature point extraction Facet model second-order directional derivative
摘要
针对SAR图像特征点匹配问题,提出了一种基于Facet模型的特征点检测方法。首先基于Facet模型对局部区域做灰度曲面最佳拟合,然后计算拟合曲面中心点的二阶方向导数,取二阶方向导数极大值小于零的点作为潜在特征点,最后通过对极大值的绝对值归一化和局部非极大值抑制提取特征点。实验结果表明,该算法可有效检测特征点,算法的实时性优于传统的SIFT算法。
Abstract
For the feature point matching of SAR images used in navigation system, a feature point extraction approach is proposed based on Facet model.Firstly, the image intensity surface is well fitted through the Facet model.Then the second-order directional derivative of the center point of the fitting surface is calculated out, and the point whose second-order directional derivative is less than zero is taken as the potential feature point.Through normalization of absolute values for maximum values of the potential feature points and local non-maxima suppression, the feature points are obtained.Experimental results show that the proposed algorithm can successfully detect the feature point, and the real-time performance of the algorithm is better than that of the traditional SIFT algorithm.
黄鹏杰, 王宏力, 赵爱罡, 陆敬辉, 姜伟. 一种基于Facet模型的SAR图像特征点检测算法[J]. 电光与控制, 2017, 24(1): 41. HUANG Peng-jie, WANG Hong-li, ZHAO Ai-gang, LU Jing-hui, JIANG Wei. A Feature Point Extraction Approach of SAR Image Based on Facet Model[J]. Electronics Optics & Control, 2017, 24(1): 41.