Efficient structure from motion for oblique UAV images based on maximal spanning tree expansion

Jiang, San

doi:10.1016/j.isprsjprs.2017.09.004

Cited by 43 publications

(52 citation statements)

References 41 publications

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“…To assess the performance of the three methods for UAV image matching, the comparison is also conducted in an image orientation test. Image pairs are first selected by using an overlap principle, where one image pair would be preserved only if the dimension of overlap exceeds half of the footprint size (Jiang and Jiang, 2017a). For the used dataset, a total number of 4130 pairs are selected.…”

Section: Comparison Using the Four Image Pairsmentioning

confidence: 99%

Hierarchical motion consistency constraint for efficient geometrical verification in UAV stereo image matching

Jiang

2018

ISPRS Journal of Photogrammetry and Remote Sensing

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Section: Comparison Using the Four Image Pairsmentioning

confidence: 99%

Hierarchical motion consistency constraint for efficient geometrical verification in UAV stereo image matching

Jiang

2018

ISPRS Journal of Photogrammetry and Remote Sensing

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“…the grid aims to simulate the surveys performed by using UAV with photogrammetry or ALS. In such a case, the points would be located with a much greater density (Gruszczyński at al., 2017;Jiang and Jiang, 2017;Lizarazo et al, 2017;Lucieer et al, 2014;Tsai and Lin, 2017), although it was stated that the chosen density was sufficient to reflect the properties of these method and assure a reasonable calculation time.…”

Section: Resultsmentioning

confidence: 99%

Uncertainty in determining the parameters of surface deformation model

Gruszczyński¹

2019

Acta Geodynamica Et Geomaterialia

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Predicting surface deformations caused by underground mining is an issue of significance both for the safety of overlaying facilities and for economic purposes. There are many different models for predicting the impact of underground mining on the land surface. One of them is the Knothe model commonly used in Poland and in the world. The paper presents two methods of estimating Knothe model parameters uncertainty. The parallel application of two methods enables the mutual verification of the results obtained and the identification of the potential errors and their sources in the case of any discrepancies. The first method is based on the socalled law of propagation of uncertainty, which in essence is the approximation based on the first-order Taylor series expansion. The second presented method is based on the Monte Carlo simulation.

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“…For completeness analysis, bundle adjustment experiments are conducted and sparse 3D models are used for comparison, including the number of connected images and 3D points. In this study, an incremental structure from motion (SfM) software package is used for BA tests, which is developed at home and described in detail in the work of [30]. The only inputs of the BA software are correspondences generated from feature matching due to the fact that it utilizes an incremental procedure for camera pose estimation and 3D point triangulation.…”

Section: Solutionmentioning

confidence: 99%

On-Board GNSS/IMU Assisted Feature Extraction and Matching for Oblique UAV Images

Jiang

2017

Remote Sensing

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Feature extraction and matching is a crucial task in the fields of computer vision and photogrammetry. Even though wide researches have been reported, some issues are still existing for oblique images. This paper exploits the use of on-board GNSS/IMU (Global Navigation Satellite System/Inertial Measurement Unit) data to achieve efficient and reliable feature extraction and matching for oblique unmanned aerial vehicle (UAV) images. Firstly, rough POS (Positioning and Orientation System) is calculated for each image with cooperation of on-board GNSS/IMU data and camera installation angles, which enables image rectification and footprint calculation. Secondly, two robust strategies, including the geometric rectification and tile strategy, are considered to address the issues caused by perspective deformations and to relieve the side-effects of image down-sampling. According to the results of individual performance evaluation, four combinations of these two strategies are designed and comprehensively compared in BA (Bundle Adjustment) experiments by using a real oblique UAV dataset. The results reported in this paper demonstrate that the solution with the tiling strategy is superior to the other solutions in terms of efficiency, completeness and accuracy. For feature extraction and matching of oblique UAV images, it is proposed to combine the tiling strategy with existing workflows to achieve an efficient and reliable solution.

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Efficient structure from motion for oblique UAV images based on maximal spanning tree expansion

Cited by 43 publications

References 41 publications

Hierarchical motion consistency constraint for efficient geometrical verification in UAV stereo image matching

Hierarchical motion consistency constraint for efficient geometrical verification in UAV stereo image matching

Uncertainty in determining the parameters of surface deformation model

On-Board GNSS/IMU Assisted Feature Extraction and Matching for Oblique UAV Images

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