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作 者:周唯 彭认灿[1,2] 董箭[1,2] 王利伟[4] ZHOU Wei;PENG Rencan;DONG Jian;WANG Liwei(Department of Hydrography and Cartography,Dalian Naval Academy,Dalian 116018,China;Navigation Department of Dalian Maritime University,Dalian Naval Academy,Dalian 116018,China;91550 Troops,Dalian 116023,China;Navy Press,Tianjin 300450,China)
机构地区:[1]海军大连舰艇学院海洋测绘系 [2]海军大连舰艇学院海洋测绘工程军队重点实验室 [3]91550部队 [4]海军出版社
出 处:《海洋测绘》2018年第2期43-47,共5页Hydrographic Surveying and Charting
基 金:国家自然科学基金(41471380;41601498)
摘 要:针对滩涂机载激光雷达(LiDAR)数据的强度信息中存在的条带噪声,提出一种基于非线性RANSAC拟合强度联合直方图的修正算法。所提方法首先利用两个航带重叠区域数据的最近点构建强度联合直方图,之后强度联合直方图上利用二阶多项式构建归一化模型,再利用非线性RANSAC算法对二阶多项式进行拟合,最后利用拟合的二阶多项式对一条航带的数据进行强度修正,从而消除两个航带点云强度信息的不匹配现象。实验表明,相比于直接利用权重最小二乘法或RANSAC方法匹配联合直方图的强度修正方法,本文方法修正效果更好,且修正后航带重叠区的点云强度具有更好的同质性。An intensity correction method based on non-linear RANSAC fitting intensity joint histogram is proposed for the striping noise appeared in the shoaly land LiDAR intensity data.Firstly,the intensity joint histogram is generated based on a set of pairwise intensity data points identified within two overlapping LiDAR data strips.Secondly,the normalization model is built upon the use of a second-order polynomial function fitted on the intensity joint histogram,and the non-linear RANSAC is used to perform the second-order polynomial fitting.Finally,the fitted polynomial curve is used to correct the intensity data of one LiDAR data strip,so as to eliminate the radiometric misalignment between the intensity data of the two overlapping LiDAR data strips.The results show that the proposed method can obtain better correction results by comparing with the intensity correction method based on the weight least squares or the RANSAC fitting the intensity joint histogram,and the intensity homogeneity can be effectively improved in the overlapping region of the two LiDAR data strips.
关 键 词:遥感测深 滩涂LiDAR 强度修正 非线性RANSAC 强度联合直方图
分 类 号:P229[天文地球—大地测量学与测量工程]
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