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首页> 外文会议>2010 International Conference on Multimedia Technology >Airborne LiDAR Data Strip Adjustment Based on Least Squares Matching and Independent Model
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Airborne LiDAR Data Strip Adjustment Based on Least Squares Matching and Independent Model

机译：基于最小二乘匹配和独立模型的机载LiDAR数据带调整

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As a new kind of remote sensing sensor, airborne LiDAR (Light detection and Ranging) has gained much attention by photogrammetry and remote sensing community. This paper focuses on the matching and strip adjustment of airborne LiDAR data. A multi-strip least squares matching (LSM) method was proposed, which adopts a combined feature called quasi-height including both the height and reflectance information. For strip adjustment which aims to eliminate the effect of geometric errors, an independent model was proposed. To validate the efficiency of the methods in this paper, a real project experiment is conducted and the discrepancies among different overlapping strips are obtained which are used for the strip adjustment. The adjustment results demonstrate the efficiency of this matching method and adjustment model.
机译：机载LiDAR（光检测与测距）作为一种新型的遥感传感器，受到摄影测量学和遥感界的广泛关注。本文重点研究机载LiDAR数据的匹配和条带调整。提出了一种多条纹最小二乘匹配（LSM）方法，该方法采用了一种称为准高度的组合特征，包括高度和反射率信息。对于旨在消除几何误差影响的带钢调整，提出了一个独立的模型。为了验证本文方法的有效性，进行了一个实际的项目实验，获得了不同重叠条带之间的差异，这些差异用于条带调整。调整结果证明了该匹配方法和调整模型的有效性。

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