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作 者:丁琼 余俊鹏 DING Qiong;YU Junpeng(Guangdong University of Technology,Guangzhou 510006,China)
机构地区:[1]广东工业大学,广州510006
出 处:《遥感信息》2018年第5期89-93,共5页Remote Sensing Information
基 金:广东省自然科学基金(2015A030310155);国家自然科学基金(41704019)
摘 要:LiDAR不仅能获取目标的三维信息,还能记录它的回波强度。针对强度信息在传播过程中受到外界因素的影响而含有较大误差的问题,从强度在传播过程中的衰减机理出发,提出一种多航带数据的强度自动校正算法。该算法基于雷达方程削减环境因素的影响提升强度信号精度,基于多航带重叠区的冗余数据自动筛选同名激光脚点,并针对同名样本的剩余强度差异,构建新的经验模型,消除航带间强度差异。实验结果表明,所提出的算法能够有效改进航带间强度差异并提高LiDAR强度数据的分类精度。LiDAR systems deliver not only geometric information,but also the returned intensity of reflected laser pulse.However,LiDAR intensity cannot be directly used as it is affected by many factors and contains large errors during spreading.A method was proposed based on the attenuation mechanism and multiple strips to overcome intensity discrepancies in large area project.In this method,environmental effect was reduced based on radar equation,homologous points were automatically selected based on overlap region datasets,and empirical model was built for eliminating the remaining errors on overlap regions.Experimental results show that our algorithm removed the overlap discrepancies efficiently and improved the classification results in further application.
分 类 号:P225[天文地球—大地测量学与测量工程]
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