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Accuracy potential of object-based least-squares matching

机译：基于对象的最小二乘匹配的精度潜力

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摘要

Abstract: This paper investigates the accuracy potential of object-based least squares matching for the automatic derivation of digital terrain models (DTMs). Some signal-theoretic-based improvements were made for sampling in the object space. Several sampling rates were tested in combination with different amounts of noise. The investigations were carried out for image strips from 3-line cameras. Most results hold for frame images as well. A few procedures were investigated for reducing the computation time and the resulting effect on the accuracy. It is shown that the computation can be accelerated by nearly a factor of 10 without any significant loss of accuracy. !11
机译：摘要：本文研究了基于对象的最小二乘匹配在自动推导数字地形模型（DTM）方面的准确性潜力。对对象空间中的采样进行了一些基于信号理论的改进。结合不同数量的噪声测试了几种采样率。对三线摄像机的图像带进行了调查。大多数结果也适用于帧图像。为了减少计算时间和结果对精度的影响，研究了一些程序。结果表明，计算速度可以提高近10倍，而准确性没有任何明显的损失。 ！11

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