Registration of Urban Aerial Image and LiDAR Based on Line Vectors

Sheng, Qinghong; Wang, Qi; Zhang, Xinyue; Wang, Bo; Zhang, Bin; Zhang, Zhengning

doi:10.3390/app7100965

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…Finally, the bundle block adjustment improved the positioning accuracy of the images. Additionally, Sheng et al [16] comprehensively analyzed the direction and position information of line features and proposed a registration method based on line feature vectors. The authors stated the line features' vector description method in detail, and deduced the mathematical model of the registration.…”

Section: Related Workmentioning

confidence: 99%

Non-Rigid Vehicle-Borne LiDAR-Assisted Aerotriangulation

Zheng

Sun³

et al. 2019

Remote Sensing

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VLS (Vehicle-borne Laser Scanning) can easily scan the road surface in the close range with high density. UAV (Unmanned Aerial Vehicle) can capture a wider range of ground images. Due to the complementary features of platforms of VLS and UAV, combining the two methods becomes a more effective method of data acquisition. In this paper, a non-rigid method for the aerotriangulation of UAV images assisted by a vehicle-borne light detection and ranging (LiDAR) point cloud is proposed, which greatly reduces the number of control points and improves the automation. We convert the LiDAR point cloud-assisted aerotriangulation into a registration problem between two point clouds, which does not require complicated feature extraction and match between point cloud and images. Compared with the iterative closest point (ICP) algorithm, this method can address the non-rigid image distortion with a more rigorous adjustment model and a higher accuracy of aerotriangulation. The experimental results show that the constraint of the LiDAR point cloud ensures the high accuracy of the aerotriangulation, even in the absence of control points. The root-mean-square error (RMSE) of the checkpoints on the x, y, and z axes are 0.118 m, 0.163 m, and 0.084m, respectively, which verifies the reliability of the proposed method. As a necessary condition for joint mapping, the research based on VLS and UAV images in uncontrolled circumstances will greatly improve the efficiency of joint mapping and reduce its cost.

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Section: Related Workmentioning

confidence: 99%

Non-Rigid Vehicle-Borne LiDAR-Assisted Aerotriangulation

Zheng

Sun³

et al. 2019

Remote Sensing

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“…So far, various classes of registration techniques, mainly depending on the perturbation model, have been presented in the literature [1][2][3][4][5][6][7]. The most commonly used classes of registration methods include Principal Axes Transform (PAT), multiresolution registration, boundary registration, model-based registration, adaptive registration and optimization-based registration.…”

Section: Introductionmentioning

confidence: 99%

New Evolutionary-Based Techniques for Image Registration

Cocianu¹,

Stan²

2019

Applied Sciences

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The work reported in this paper aims at the development of evolutionary algorithms to register images for signature recognition purposes. We propose and develop several registration methods in order to obtain accurate and fast algorithms. First, we introduce two variants of the firefly method that proved to have excellent accuracy and fair run times. In order to speed up the computation, we propose two variants of Accelerated Particle Swarm Optimization (APSO) method. The resulted algorithms are significantly faster than the firefly-based ones, but the recognition rates are a little bit lower. In order to find a trade-off between the recognition rate and the computational complexity of the algorithms, we developed a hybrid method that combines the ability of auto-adaptive Evolution Strategies (ES) search to discover a global optimum solution with the strong quick convergence ability of APSO. The accuracy and the efficiency of the resulted algorithms have been experimentally proved by conducting a long series of tests on various pairs of signature images. The comparative analysis concerning the quality of the proposed methods together with conclusions and suggestions for further developments are provided in the final part of the paper.

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Environmental geochemical signature of shale in pollution assessment of trace metals in soil and water in parts of southern Benue trough, southeastern Nigeria

Nganje

Adamu

Ekwere

et al. 2021

International Journal of Environmental Analytical Chemistry

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Black shales have a great environmental geochemical significance and act as a source of metal enrichment which upon weathering could release trace elements into soil system where they are in turn mobilized and release into surface water and groundwater systems. An investigation of environmental geochemistry of rock, soil and water in parts of Abakaliki, southeastern Benue trough, Nigeria was carried out in order to evaluate the impact of shale bedrock in the soil and water environment. Shale rock, soil and water samples were collected from ten (10) locations within the study area and were analyzed for major and trace elements using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). In situ parameters such as pH, in water was measured in the field. The results shows that Pb is highly enriched while As. Cr, Co, Fe, Ni, Sr, V and Zn are slightly enriched in the shales relative to the global shale average. Similar geochemical trend was observed for surface and subsurface soils. Also, the mean concentration of As, Co. Cu. Mn, Pb and Zn in soils at both depths are higher than the mean concentrations in the shale bedrock in the area of study, implying relative enrichments of these metals in the soils of the study area. In addition, the mean values of Al, Fe, Ti, Cr, Ni, Sr and V in both soil depths are lower than the values recorded in the shale bedrock. Relationship between pH and metal load suggested that the waters are dominantly near neutral to alkaline range suggesting that acidic contaminants do not affect the water quality. The mean concentration of Al, Fe, Mn and Pb in groundwater and surface water was above the regulatory standards indicating contamination of the water. The calculated enrichment factor, anthropogenic inputs, pollution index for soil indicated that the soil are highly contaminated through numerous geogenic and anthropogenic sources with Pb being the most toxic metal with the shale bedrock and the mineral load contained in them as the major contributor of these contaminants..

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Registration of Urban Aerial Image and LiDAR Based on Line Vectors

Cited by 4 publications

References 23 publications

Non-Rigid Vehicle-Borne LiDAR-Assisted Aerotriangulation

Non-Rigid Vehicle-Borne LiDAR-Assisted Aerotriangulation

New Evolutionary-Based Techniques for Image Registration

Environmental geochemical signature of shale in pollution assessment of trace metals in soil and water in parts of southern Benue trough, southeastern Nigeria

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