基于拉普拉斯影像锐化的SIFT无人机影像匹配方法
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摘要
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.
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.
引文
[1]陈香,王琳,张晔.基于SIFT的无人机遥感影像匹配算法研究[J].测绘与空间地理信息,2013,36(4):106-111.
[2]胡佳怡,赵栋梁,刘荣,等.基于特征的影像匹配算法性能评估[J].北京测绘,2018,32(2):179-185.
[3]高放,陆频频,王旭.基于相似特征点集的SIFT匹配改进算法[J].测绘工程,2016,25(6):19-23.
[4]闫利,叶志云.几何约束条件下的SIFT倾斜影像匹配[J].测绘通报,2016(1):37-40.
[5]刘玉轩,蓝朝桢,李参海,等.无人机影像匹配中尺度不变特征应用改进[J].测绘科学,2016,41(7):37-46.
[6]沈宇臻,李百寿,李灵芝,等.一种基于邻域投票的异源光学影像SIFT匹配误差剔除方法[J].测绘通报,2018(2):55-60.
[7]张永梅,张静.一种图像锐化改进算法[J].计算机光盘软件与应用,2014(2):62-64.
[8]完文韬,杨成禹.改进的SIFT算法在图像特征点匹配中的应用[J].长春理工大学学报(自然科学版),2018,41(1):44-47.
[9]贾银江,徐哲男,苏中滨,等.基于优化SIFT算法的无人机遥感作物影像拼接[J].农业工程学报,2017,33(10):123-129.
[10]陈香,王琳,张晔.基于SIFT的无人机遥感影像匹配算法研究[J].测绘与空间地理信息,2017,36(4):106-108.
[11]周颖.基于SIFT算法的图像特征匹配[J].图形图像,2015(5):63-68.
[2]胡佳怡,赵栋梁,刘荣,等.基于特征的影像匹配算法性能评估[J].北京测绘,2018,32(2):179-185.
[3]高放,陆频频,王旭.基于相似特征点集的SIFT匹配改进算法[J].测绘工程,2016,25(6):19-23.
[4]闫利,叶志云.几何约束条件下的SIFT倾斜影像匹配[J].测绘通报,2016(1):37-40.
[5]刘玉轩,蓝朝桢,李参海,等.无人机影像匹配中尺度不变特征应用改进[J].测绘科学,2016,41(7):37-46.
[6]沈宇臻,李百寿,李灵芝,等.一种基于邻域投票的异源光学影像SIFT匹配误差剔除方法[J].测绘通报,2018(2):55-60.
[7]张永梅,张静.一种图像锐化改进算法[J].计算机光盘软件与应用,2014(2):62-64.
[8]完文韬,杨成禹.改进的SIFT算法在图像特征点匹配中的应用[J].长春理工大学学报(自然科学版),2018,41(1):44-47.
[9]贾银江,徐哲男,苏中滨,等.基于优化SIFT算法的无人机遥感作物影像拼接[J].农业工程学报,2017,33(10):123-129.
[10]陈香,王琳,张晔.基于SIFT的无人机遥感影像匹配算法研究[J].测绘与空间地理信息,2017,36(4):106-108.
[11]周颖.基于SIFT算法的图像特征匹配[J].图形图像,2015(5):63-68.