遥感信息
遙感信息
요감신식
2014年
6期
16-20
,共5页
杜全叶%麦晓明%褚福侠%彭向阳%王锐
杜全葉%麥曉明%褚福俠%彭嚮暘%王銳
두전협%맥효명%저복협%팽향양%왕예
非常规航空影像%机载 LiDAR 数据%影像密集匹配%ICP 算法%配准%单像空间后方交会
非常規航空影像%機載 LiDAR 數據%影像密集匹配%ICP 算法%配準%單像空間後方交會
비상규항공영상%궤재 LiDAR 수거%영상밀집필배%ICP 산법%배준%단상공간후방교회
unconventional aerial images%airborne LiDAR data%image dense matching%Iterative Closest Point algorithm%registration%single image spatial resection
航向重叠度小于53％，不满足连续3张影像进行模型连接的航空影像视为非常规航空影像。针对非常规航空影像与机载激光扫描（Light Detection And Ranging，LiDAR）数据的配准，本文提出了首先利用影像匹配得到匹配点云，然后基于迭代最邻近点（Iterative Closest Point，ICP）算法配准匹配点云和机载 LiDAR 点云，最后使用配准点进行单像空间后方交会解算影像方位元素的配准方法。相关实验表明利用本文方法配准航空影像和机载 LiDAR 数据，相对于人工配准，自动化程度大大提高，精度更高。
航嚮重疊度小于53％，不滿足連續3張影像進行模型連接的航空影像視為非常規航空影像。針對非常規航空影像與機載激光掃描（Light Detection And Ranging，LiDAR）數據的配準，本文提齣瞭首先利用影像匹配得到匹配點雲，然後基于迭代最鄰近點（Iterative Closest Point，ICP）算法配準匹配點雲和機載 LiDAR 點雲，最後使用配準點進行單像空間後方交會解算影像方位元素的配準方法。相關實驗錶明利用本文方法配準航空影像和機載 LiDAR 數據，相對于人工配準，自動化程度大大提高，精度更高。
항향중첩도소우53％，불만족련속3장영상진행모형련접적항공영상시위비상규항공영상。침대비상규항공영상여궤재격광소묘（Light Detection And Ranging，LiDAR）수거적배준，본문제출료수선이용영상필배득도필배점운，연후기우질대최린근점（Iterative Closest Point，ICP）산법배준필배점운화궤재 LiDAR 점운，최후사용배준점진행단상공간후방교회해산영상방위원소적배준방법。상관실험표명이용본문방법배준항공영상화궤재 LiDAR 수거，상대우인공배준，자동화정도대대제고，정도경고。
The aerial images which forward overlap is less than 53%,and do not satisfy model connection conditions using continuous three images are regarded as unconventional aerial images.For registering unconventional aerial images with airborne LiDAR (Light Detetion And Ranging)data,this paper presents a new registration method that using image dense matching to get matching point cloud firstly,and then register matching point cloud to LiDAR points by using ICP (Iterative Closest Point) algorithm,finally calculate orientation elements of images by single image spatial resection with registration points. Experimental results indicated that this proposed method has a great advantage in higher automation and precision compared with the manual registration.
