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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >DEM-Aided Block Adjustment for Satellite Images With Weak Convergence Geometry
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DEM-Aided Block Adjustment for Satellite Images With Weak Convergence Geometry

机译：具有弱收敛几何形状的卫星图像的DEM辅助块调整

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摘要

To acquire the largest possible coverage for environmental monitoring, it is important in most situations that the overlapping areas and the convergent angles of respective satellite images be small. The traditional bundle adjustment method used in aerial photogrammetry may not be the most suitable for direct orientation modeling in situations characterized by weak convergence geometry. We propose and compare three block adjustment methods for the processing of satellite images using the digital elevation model (DEM) as the elevation control. The first of these methods is a revised traditional bundle adjustment approach. The second is based on the direct georeferencing approach. The third is a rational function model with sensor-oriented rational polynomial coefficients. A collocation technique is integrated into all three methods to improve the positioning accuracy. Experimental results indicate that using the DEM as an elevation control can significantly improve the geometric accuracy as well as the geometric discrepancies between images. This is the case for all three methods. Moreover, the geometric performance of the three methods is similar. There is a significant improvement in geometric consistency between overlapping SPOT images with respect to single image adjustment for steep areas.
机译：为了获得最大的环境监测覆盖范围，在大多数情况下，重要的是各个卫星图像的重叠区域和会聚角要小。航空摄影测量中使用的传统束调整方法可能不适用于以微弱会聚几何为特征的情况下的直接定向建模。我们提出并比较了使用数字高程模型（DEM）作为高程控制来处理卫星图像的三种块调整方法。这些方法中的第一个是经过修订的传统捆绑调整方法。第二种基于直接地理配准方法。第三是具有面向传感器的有理多项式系数的有理函数模型。所有三种方法都采用了搭配技术，以提高定位精度。实验结果表明，使用DEM作为高程控件可以显着提高几何精度以及图像之间的几何差异。这三种方法都是这种情况。此外，这三种方法的几何性能相似。相对于陡峭区域的单个图像调整，重叠的SPOT图像之间的几何一致性有了显着改善。

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