Analysis of optical theodolite dynamic accuracy evaluation method

A method of dynamic accuracy appraisal for optical theodolite is proposed in the paper. Its mathematical model and solution method are deduced. Then, this appraisal method is verified through the simulation. The results suggest there are many advantages in accuracy and reliability to appraise dynamic accuracy of optical theodolite with the method proposed in the paper. In addition, the method is easier and conducive to engineering applications.

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733 Accuracy evaluation of a general purpose J integral evaluation method for three dimensional model

The Proceedings of The Computational Mechanics Conference ◽

10.1299/jsmecmd.2008.21.600 ◽

2008 ◽

Vol 2008.21 (0) ◽

pp. 600-601

Author(s):

Yasuhiro Kanto

Keyword(s):

Evaluation Method ◽

Three Dimensional ◽

General Purpose ◽

Accuracy Evaluation ◽

J Integral ◽

Dimensional Model ◽

Three Dimensional Model ◽

Integral Evaluation

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THE RESEARCH ON ACCURACY EVALUATION METHOD OF THE TOMOGRAPHIC SAR THREE-DIMENSIONAL RECONSTRUCTION OF URBAN BUILDING BASED ON TERRESTRIAL LIDAR POINT CLOUD

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-2-w7-617-2017 ◽

2017 ◽

Vol XLII-2/W7 ◽

pp. 617-621

Author(s):

L. Li ◽

L. Pang ◽

X. D. Zhang ◽

H. Liu

Keyword(s):

Point Cloud ◽

Evaluation Method ◽

Three Dimensional ◽

Accuracy Evaluation ◽

3D Point Cloud ◽

Point Cloud Data ◽

Terrestrial Lidar ◽

Cloud Data ◽

Dimensional Precision ◽

Urban Buildings

Muti-baseLine SAR tomography can be used on 3D reconstruction of urban building based on SAR images acquired. In the near future, it is expected to become an important technical tool for urban multi-dimensional precision monitoring. For the moment，There is no effective method to verify the accuracy of tomographic SAR 3D point cloud of urban buildings. In this paper, a new method based on terrestrial Lidar 3D point cloud data to verify the accuracy of the tomographic SAR 3D point cloud data is proposed, 3D point cloud of two can be segmented into different facadeds. Then facet boundary extraction is carried out one by one, to evaluate the accuracy of tomographic SAR 3D point cloud of urban buildings. The experience select data of Pangu Plaza to analyze and compare, the result of experience show that the proposed method that evaluating the accuracy of tomographic SAR 3D point clou of urban building based on lidar 3D point cloud is validity and applicability

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A Precision Evaluation Method for Remote Sensing Data Sampling Based on Hexagon Discrete Grid

10.20944/preprints202012.0721.v1 ◽

2020 ◽

Author(s):

Yue Ma ◽

Guoqing Li ◽

Xiaochuang Yao ◽

Jin Ben ◽

Qianqian Cao ◽

...

Keyword(s):

Remote Sensing ◽

Spatial Data ◽

Evaluation System ◽

Evaluation Method ◽

Remote Sensing Data ◽

Accuracy Evaluation ◽

Remote Sensing Images ◽

Sensing Data ◽

Hexagonal Grids ◽

Discrete Grid

With the rapid development of earth observation, satellite navigation, mobile communication and other technologies, the order of magnitude of the spatial data we acquire and accumulate is increasing, and higher requirements are put forward for the application and storage of spatial data. Under this circumstance, a new form of spatial data organization emerged-the global discrete grid. This form of data management can be used for the efficient storage and application of large-scale global spatial data, which is a digital multi-resolution the geo-reference model that helps to establish a new model of data association and fusion. It is expected to make up for the shortcomings in the organization, processing and application of current spatial data. There are different types of grid system according to the grid division form, including global discrete grids with equal latitude and longitude, global discrete grids with variable latitude and longitude, and global discrete grids based on regular polyhedrons. However, there is no accuracy evaluation index system for remote sensing images expressed on the global discrete grid to solve this problem. This paper is dedicated to finding a suitable way to express remote sensing data on discrete grids, and establishing a suitable accuracy evaluation system for modeling remote sensing data based on hexagonal grids to evaluate modeling accuracy. The results show that this accuracy evaluation method can evaluate and analyze remote sensing data based on hexagonal grids from multiple levels, and the comprehensive similarity coefficient of the images before and after conversion is greater than 98%, which further proves that the availability hexagonal grid-based remote sensing data of remote sensing images. And among the three sampling methods, the image obtained by the nearest interpolation sampling method has the highest correlation with the original image.

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