DOI number:10.3390/rs13234836
Key Words:LiDAR point data; optical imagery; registration; virtual point
Abstract:The registration of optical imagery and 3D Light Detection and Ranging (LiDAR) point data continues to be a challenge for various applications in photogrammetry and remote sensing. In this paper, the framework employs a new registration primitive called virtual point (VP) that can be generated from the linear features within a LiDAR dataset including straight lines (SL) and curved lines (CL). By using an auxiliary parameter (λ), it is easy to take advantage of the accurate and fast calculation of the one-step registration transformation model. The transformation model parameters and λs can be calculated simultaneously by applying the least square method recursively. In urban areas, there are many buildings with different shapes. Therefore, the boundaries of buildings provide a large number of SL and CL features and selecting properly linear features and transforming into VPs can reduce the errors caused by the semi-discrete random characteristics of the LiDAR points. According to the result shown in the paper, the registration precision can reach the 1~2 pixels level of the optical images.
Translation or Not:no
Date of Publication:2021-11-28
Included Journals:SCI
Links to published journals:https://www.mdpi.com/2072-4292/13/23/4836
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School/Department:遥感信息工程学院
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Honors and Titles
地理信息产业协会二等奖 2016
湖北省科学进步一等奖 2014
中国测绘协会一等奖 2021
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