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首页> 外文会议>International conference on graphic and image processing >Automatic Digital Surface Model (DSM) Generation from Aerial Imagery Data
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Automatic Digital Surface Model (DSM) Generation from Aerial Imagery Data

机译：从航空影像数据自动生成数字表面模型（DSM）

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摘要

Aerial sensors are widely used to acquire imagery for photogrammetric and remote sensing application. In general, the images have large overlapped region, which provide a lot of redundant geometry and radiation information for matching. This paper presents a POS supported dense matching procedure for automatic DSM generation from aerial imagery data. The method uses a coarse-to-fine hierarchical strategy with an effective combination of several image matching algorithms: image radiation pre-processing, image pyramid generation, feature point extraction and grid point generation, multi-image geometrically constraint cross-correlation (MIG3C), global relaxation optimization, multi-image geometrically constrained least squares matching (MIGCLSM), TIN generation and point cloud filtering. The image radiation pre-processing is used in order to reduce the effects of the inherent radiometric problems and optimize the images. The presented approach essentially consists of 3 components: feature point extraction and matching procedure, grid point matching procedure and relational matching procedure. The MIGCLSM method is used to achieve potentially sub-pixel accuracy matches and identify some inaccurate and possibly false matches. The feasibility of the method has been tested on different aerial scale images with different landcover types. The accuracy evaluation is based on the comparison between the automatic extracted DSMs derived from the precise exterior orientation parameters (EOPs) and the POS.
机译：航空传感器广泛用于摄影和遥感应用中获取图像。通常，图像具有较大的重叠区域，这提供了大量冗余几何图形和辐射信息以进行匹配。本文提出了一种支持POS的密集匹配程序，用于根据航空影像数据自动生成DSM。该方法使用从粗到细的分层策略，并有效地结合了几种图像匹配算法：图像辐射预处理，图像金字塔生成，特征点提取和网格点生成，多图像几何约束互相关（MIG3C） ，全局松弛优化，多图像几何约束最小二乘匹配（MIGCLSM），TIN生成和点云过滤。为了减少固有辐射问题的影响并优化图像，使用了图像辐射预处理。所提出的方法主要由3个部分组成：特征点提取和匹配过程，网格点匹配过程和关系匹配过程。 MIGCLSM方法用于获得潜在的子像素精度匹配，并识别一些不准确且可能错误的匹配。该方法的可行性已在具有不同土地覆被类型的不同航拍图像上进行了测试。精度评估基于从精确的外部方向参数（EOP）导出的自动提取的DSM与POS之间的比较。

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