基于无人机图像的边坡病害识别方法
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摘要
利用无人机拍摄边坡进行病害识别是常用的高边坡病害检测方法。以无人机拍摄的高边坡图像为研究目标,首先对图像进行校正,获取非畸变图像;然后利用sift特征,结合无人机拍摄图像的特点,剔除错误匹配的点,对图像进行拼接;最后对病害进行识别与定位。实验结果表明,该算法较好地对无人机拍摄的图像进行拼接,并可将多次拍摄的边坡图像进行比对。
The use of drones to take pictures of slopes for disease identification is a commonly used method for detecting high slope diseases. Taking the high-slope image taken by the drone as the research target, the image is first corrected to obtain the non-distorted image; then the sift feature is combined with the characteristics of the image taken by the drone, the mismatched points are eliminated, and the image is spliced; Finally, the disease is identified and located. The experimental results show that the algorithm can better splicing the images taken by the drone and compare the images of the multiple shots.
The use of drones to take pictures of slopes for disease identification is a commonly used method for detecting high slope diseases. Taking the high-slope image taken by the drone as the research target, the image is first corrected to obtain the non-distorted image; then the sift feature is combined with the characteristics of the image taken by the drone, the mismatched points are eliminated, and the image is spliced; Finally, the disease is identified and located. The experimental results show that the algorithm can better splicing the images taken by the drone and compare the images of the multiple shots.
引文
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[9]杨松,邵龙潭,宋维波,等.一种基于SIFT特征的快速图像匹配算法[J].计算机应用与软件, 2016,33(7):186-189.
[2]胡勇,张孝成,马泽忠,等.无人机遥感影像中农村房屋信息快速提取[J].国土资源遥感, 2016, 28(3):96-101.
[3]丁家如,杜昌平,赵耀,等.基于改进人工势场法的无人机路径规划算法[J].计算机应用, 2016, 36(1):287-290.
[4]胡勇,张孝成,马泽忠,等.无人机遥感影像中农村房屋信息快速提取[J].国土资源遥感, 2016, 28(3):96-101.
[5]程争刚,张利.一种基于无人机位姿信息的航拍图像拼接方法[J].测绘学报, 2016, 45(6):698-705.
[6]张婷,黄昶,肖玉洁.基于SIFT的特征点提取的算法改进[J].信息通信, 2016(2):66-67.
[7]陈敏,汤晓安. SIFT与SURF特征提取算法在图像匹配中的应用对比研究[J].现代电子技术, 2018(7).
[8]傅瑞罡,王平,高颖慧.一种去冗余的SIFT特征提取方法[J].计算机工程与科学, 2016, 38(4):827-832.
[9]杨松,邵龙潭,宋维波,等.一种基于SIFT特征的快速图像匹配算法[J].计算机应用与软件, 2016,33(7):186-189.