一种融合三维信息的自一致性技术

Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) Pub Date : 2002-07-08 DOI:10.1109/ICIF.2002.1020936

H. Schultz, A. Hanson, E. Riseman, F. Stolle, Zhigang Zhu, Woo Dong-min

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引用次数: 13

摘要

本文描述了一种从多个随机方向的表面视图中恢复最优DEM及其方差的鲁棒方法。该方法从多幅重叠图像中生成一组共同坐标系下的DEM图块，然后利用自一致性的概念检测和去除图块中的误差。将干净的瓷砖平均在一起，形成低噪声的复合DEM。该方法在真实和逼真的模拟数据上进行了测试。结果表明，该方法能够生成几乎无误差的复合DEM。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A self-consistency technique for fusing 3D information

This paper describes a robust method for recovering an optimal DEM and its variance from multiple, randomly orientated views of a surface. The method generates a set of DEM tiles in a common coordinate system from multiple overlapping images, and then employs the concept of self-consistency to detect and remove errors from the tiles. The clean tiles are averaged together to form a low noise composite DEM. The method is tested on real and photo realistic simulated data. Results show that the method is capable of producing a virtually error free composite DEM.

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Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)

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