基于拉普拉斯影像锐化的SIFT无人机影像匹配方法

An UAV Image Matching Method Based on SIFT and Laplace Image Sharpening

受成像地区实际情况影响,目前无人机影像匹配精度有待提高。本文提出了一种基于拉普拉斯影像锐化的SIFT无人机影像匹配方法,该方法首先通过四邻域拉普拉斯滤波算子对基准与待匹配影像分别进行锐化,以增强影像细节特征;再通过SIFT算法对锐化后的两幅影像进行匹配。实验结果显示,本文方法具有一定的有效性和鲁棒性。

Affected by the actual situation in the imaging area, the accuracy of UAV image matching needs to be improved. In this paper, an UAV image matching method based on SIFT and laplace image sharpening is proposed. Firstly, the reference and the image to be matched are respectively sharpened by a four-neighbor laplacian filter operator to enhance the image details features;Then, the sharpened two images are matched by the SIFT algorithm. Experimental results show that the proposed method has certain effectiveness and robustness.