摘要
机载激光雷达系统(Light Detection and Ranging,简称LIDAR)是一种综合应用激光测距仪、IMU和GPS的新型快速测量系统。然而由于地理环境的复杂性,其数据滤波一直是一个研究难点。目前学者们已经提出了许多种滤波算法,但是这些滤波算法主要采用单一特征。本文的目的是在前人算法基础上尝试利用多元特征的互补性来提高滤波的精度,从而生成精度更高的DEM产品用于生产实践。
Airborne laser radar system(Light Detection And Ranging,LiDAR)is a new and rapid measurement system integrating laser range finder,IMU,and GPS.However,due to the complexity of the geographical environment,the data filtering has been a research difficult.Scholars have proposed many kinds of filtering algorithms,but these filtering algorithms use a sin- gle feature.The purpose of this paper is to improve the accuracy of the filtering by complementing previous algorithms based on the use of multiple features to generate a higher accuracy DEM products used in the production of practice.
出处
《遥感信息》
CSCD
2013年第6期107-110,共4页
Remote Sensing Information
关键词
机载激光雷达
滤波
多特征
Airborne LiDAR
filtering
multi-feature
