Mr. Shun Yue Profile

Shun Yue

Masters Candidate at Hohai Univ

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Publications (6)

Proceedings Article | 16 December 2016 Paper

Research on the method of correcting atmospheric disturbance for GBInSAR based on permanent scatterer points

Jianping Yue, Shun Yue, Yi Pan, Zhiwei Qiu, Leping Guo

Proceedings Volume 10003, 100030L (2016) https://doi.org/10.1117/12.2241282

KEYWORDS: Atmospheric monitoring, Atmospheric corrections, Spatial resolution, Synthetic aperture radar, Interferometry, Atmospheric propagation, Wave propagation, Radio propagation, Picosecond phenomena, Earth's atmosphere

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SPIE Journal Paper | 22 November 2016

Atmospheric phase correction using permanent scatterers in ground-based radar interferometry

Jianping Yue, Zhiwei Qiu, Xueqin Wang, Shun Yue

JARS, Vol. 10, Issue 04, 046013, (November 2016) https://doi.org/10.1117/12.10.1117/1.JRS.10.046013

KEYWORDS: Interferometry, Atmospheric corrections, Radar, Synthetic aperture radar, Atmospheric monitoring, Picosecond phenomena, Atmospheric sensing, Phase interferometry, Atmospheric modeling, Algorithm development

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Proceedings Article | 24 October 2016 Paper

A point cloud modeling method based on geometric constraints mixing the robust least squares method

JIanping Yue, Yi Pan, Shun Yue, Dapeng Liu, Bin Liu, Nan Huang

Proceedings Volume 10006, 100060M (2016) https://doi.org/10.1117/12.2241758

KEYWORDS: 3D modeling, Clouds, 3D scanning, Optimization (mathematics), 3D acquisition, Data processing, Laser processing, Data acquisition, Data modeling, Laser applications

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The appearance of 3D laser scanning technology has provided a new method for the acquisition of spatial 3D information. It has been widely used in the field of Surveying and Mapping Engineering with the characteristics of automatic and high precision. 3D laser scanning data processing process mainly includes the external laser data acquisition, the internal industry laser data splicing, the late 3D modeling and data integration system. For the point cloud modeling, domestic and foreign researchers have done a lot of research. Surface reconstruction technology mainly include the point shape, the triangle model, the triangle Bezier surface model, the rectangular surface model and so on, and the neural network and the Alfa shape are also used in the curved surface reconstruction. But in these methods, it is often focused on single surface fitting, automatic or manual block fitting, which ignores the model's integrity. It leads to a serious problems in the model after stitching, that is, the surfaces fitting separately is often not satisfied with the well-known geometric constraints, such as parallel, vertical, a fixed angle, or a fixed distance. However, the research on the special modeling theory such as the dimension constraint and the position constraint is not used widely. One of the traditional modeling methods adding geometric constraints is a method combing the penalty function method and the Levenberg-Marquardt algorithm (L-M algorithm), whose stability is pretty good. But in the research process, it is found that the method is greatly influenced by the initial value.

In this paper, we propose an improved method of point cloud model taking into account the geometric constraint. We first apply robust least-squares to enhance the initial value’s accuracy, and then use penalty function method to transform constrained optimization problems into unconstrained optimization problems, and finally solve the problems using the L-M algorithm. The experimental results show that the internal accuracy is improved, and it is shown that the improved method for point clouds modeling proposed by this paper outperforms the traditional point clouds modeling methods.

Proceedings Article | 13 May 2016 Paper

Research on the method of extracting DEM based on GBInSAR

Jianping Yue, Shun Yue, Zhiwei Qiu, Xueqin Wang, Leping Guo

Proceedings Volume 9832, 98320J (2016) https://doi.org/10.1117/12.2222285

KEYWORDS: 3D acquisition, Statistical analysis, Synthetic aperture radar, Interferometry, 3D scanning, Laser scanners, Radar, Analytical research, Geology, Interferometric synthetic aperture radar

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Proceedings Article | 6 November 2015 Paper

Research on multi-source data integration and the extraction of three-dimensional displacement field based on GBSAR

Jianping Yue, Shun Yue, Xueqin Wang, Leping Guo

Proceedings Volume 9667, 96670E (2015) https://doi.org/10.1117/12.2197676

KEYWORDS: 3D scanning, Laser scanners, Radar, Clouds, Synthetic aperture radar, 3D modeling, Data integration, Spatial resolution, Reflectors, Analytical research

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Proceedings Article | 6 November 2015 Paper

A comparison of atmospheric disturbance correction techniques in GBInSAR

Xueqin Wang, Jianping Yue, Shanming Qiu, Zhiwei Qiu, Shun Yue

Proceedings Volume 9667, 96670F (2015) https://doi.org/10.1117/12.2197604

KEYWORDS: Atmospheric modeling, Atmospheric corrections, Data modeling, Interferometry, Phase interferometry, Humidity, Radar, Environmental sensing, Synthetic aperture radar, Interferometric synthetic aperture radar

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Showing 5 of 6 publications

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