数字块调整

IF 2.1 3区地球科学 Q2 GEOGRAPHY, PHYSICAL

Photogrammetric Record Pub Date : 2006-09-28 DOI:10.1111/J.1477-9730.1962.TB00324.X

Fouad Amer

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引用次数: 6

摘要

对不同的分析块平差方法进行了概述和分类。总结了一些实际实验的结果。讨论了一种简单的块调整解决方案，其中条带被划分为空间部分。解决方案中包含了航空站点，以保持在跑道上的桥接能力。所有的部分都调整到最适合关于彼此以及地面控制，通过改变规模，旋转和移位。为了避免在相应数量的未知数中同时求解大量方程，采用了简单的迭代解。

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DIGITAL BLOCK ADJUSTMENT

Different methods of analytical block adjustment are outlined and classified. Results of some practical experiments are summarized. A simple solution for block adjustment is discussed, where strips are divided into space sections. Air-station points are included in the solution to preserve, in the strips, their power of bridging. All sections are adjusted to the best fit with regard to each other as well as to ground control, by change of scale, rotations and shifts. To avoid the simultaneous solution of a very large number of equations in a corresponding number of unknowns, a simple iterative solution is used.

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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