对x视差的修正

IF 2.1 3区地球科学 Q2 GEOGRAPHY, PHYSICAL

Photogrammetric Record Pub Date : 2006-08-26 DOI:10.1111/J.1477-9730.1968.TB00929.X

E. H. Thompson

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引用次数: 6

摘要

本文对著名的倾斜x视差校正公式进行了修正。它显示了我们如何能够使精度显著提高，没有更复杂的公式，其中地面起伏的影响完全消除;以及我们如何在有利的情况下，通过很大的因素减少由于横向(w)倾斜引起的二阶误差。这个公式是连续的，没有修正，没有视差水平的修正。结果表明，该方法可有效地提高计算精度，提高计算精度;在二级系统中需要更少的错误，引入更少的倾向，横向系统中引入更少的数量，重要的和有利的。

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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CORRECTIONS TO X‐PARALLAXES

This paper modifies the well-known formula that corrects x-parallaxes for tilt. It shows how we can make significant improvements in accuracy with a no more complicated formula, in which the effects of ground relief are completely removed; and how we can reduce the second-order errors due to lateral (w) tilts by very large factors in favourable cases. Resume La formule bien connue qui donne les corrections a la parallaxe horizontale est modifyee. Le resultat montre qu'on peut obtenir des ameliorations importantes dans la precision en utilisant une formule tout aussi simple, et dans laquelle les effets du relief sont supprimes; et qu'on peut reduire les erreurs de seconde ordre introduites par les inclinaisons laterales par des quantites importantes dans des cas favorables.

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来源期刊

Photogrammetric Record 地学-成像科学与照相技术

CiteScore

3.60

自引率

25.00%

发文量

审稿时长

>12 weeks

期刊介绍： The Photogrammetric Record is an international journal containing original, independently and rapidly refereed articles that reflect modern advancements in photogrammetry, 3D imaging, computer vision, and other related non-contact fields. All aspects of the measurement workflow are relevant, from sensor characterisation and modelling, data acquisition, processing algorithms and product generation, to novel applications. The journal provides a record of new research which will contribute both to the advancement of photogrammetric knowledge and to the application of techniques in novel ways. It also seeks to stimulate debate though correspondence, and carries reviews of recent literature from the wider geomatics discipline. Relevant topics include, but are not restricted to: - Photogrammetric sensor calibration and characterisation - Laser scanning (lidar) - Image and 3D sensor technology (e.g. range cameras, natural user interface systems) - Photogrammetric aspects of image processing (e.g. radiometric methods, feature extraction, image matching and scene classification) - Mobile mapping and unmanned vehicular systems (UVS; UAVs) - Registration and orientation - Data fusion and integration of 3D and 2D datasets - Point cloud processing - 3D modelling and reconstruction - Algorithms and novel software - Visualisation and virtual reality - Terrain/object modelling and photogrammetric product generation - Geometric sensor models - Databases and structures for imaging and 3D modelling - Standards and best practice for data acquisition and storage - Change detection and monitoring, and sequence analysis