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作 者:盖学峰 孙伟 管楚 GAI Xuefeng;SUN Wei;GUAN Chu(Shandong Provincial Institute of Land Surveying and Mapping,Jinan 250102,China)
机构地区:[1]山东省国土测绘院,济南250102
出 处:《科技和产业》2025年第5期44-48,共5页Science Technology and Industry
摘 要:为提高国土资源测绘的准确性及效率,提出基于无人机遥感信息的国土资源影像快速拼接方法。首先,通过估算航拍高度和角度,获取精度较高的国土资源测绘影像;然后,采用相应特征检测算法结合BRIEF(二进制鲁棒独立基本特征)算法进行特征旋转不变性的描述;之后,采用KNN(K近邻)算法进行特征点匹配,实现精提取;最后,利用SPHP(保持形状的半投影变换图像拼接)算法进行图像融合,完成图像拼接。实验结果表明,所设计的国土资源影像快速拼接方法能准确测绘国土资源,保证测绘效率,有一定的应用价值。In order to improve the accuracy and efficiency of land and resources mapping,a rapid land and resources image mosaic method based on UAV remote sensing information was proposed.Firstly,by estimating the height and angle of aerial photography,the land and resources mapping images with high accuracy were obtained.Then,the corresponding feature detection algorithm combined with BRIEF(binary robust independent elementary features)algorithm was used to describe the feature rotation invariance.Next,KNN(K-nearest neighbor)algorithm was used to match feature points to achieve precise extraction.Finally,the SPHP(shape-preserving half-projective warps for image stitching)algorithm was used for image fusion,and the image mosaic is completed.The experimental results show that the designed land and resources image rapid splicing method can realize accurate mapping of land and resources,ensure the mapping efficiency,and has certain application value.
分 类 号:P231[天文地球—摄影测量与遥感]
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