Investigation of landslide detection using radial basis functions: a case study of the Taşkent landslide, Turkey

Zeybek, Mustafa; Şanlıoğlu, İsmail

doi:10.1007/s10661-020-8101-0

Cited by 14 publications

(6 citation statements)

References 48 publications

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“…When we reconstruct the data points, we could find the following conclusions [21]- [23]. Firstly, the errors of topological structure for mesh models usually occur in the place with large curvatures and noise points, and the probability of topology errors in other spreading regions is low [24]. Secondly, the flat data points owned by the spreading region account for a large proportion in the point cloud.…”

Section: Introductionmentioning

confidence: 91%

R3MR: Region Growing Based 3D Mesh Reconstruction for Big Data Platform

Zhang

et al. 2020

IEEE Access

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Visualization is one of the most intuitive and perceptible ways for information representation in the big data era. As an essential part of the visualization, 3D mesh reconstruction is facing great challenges due to its characteristics of quantity, non-structure, and low-accuracy. The traditional 3D mesh reconstruction method has strict theoretical proof and can be used to reconstruct the surface of the complex topological structure for computer rendering and display. However, it is not suitable to handle a large number of point cloud and noise point cloud in a big data platform because the process is inefficient, low-automation and requires massive calculations. To address this issue, we propose a region growing based 3D mesh reconstruction (R3MR) in the big data platform. Firstly, we divide the large data points into three categories: flat point set, high curvature point set, and boundary point set. The errors of topological structure for 3D meshes usually occur in the place with large curvatures and noise points, so the division of high curvature point set is beneficial to solve the low-accuracy problem in 3D mesh reconstruction. Moreover, the flat points can be treated as one kind of point to avoid repetitive calculations because their features are basically the same. Hence, the division of the flat point set is beneficial to solve the problem of quantity and massive calculations. Secondly, our proposal is to start the mesh reconstruction from the flat point set progressively, because it can obtain the outline of the 3D model. In many scenarios, such as autonomous driving, only the overall outline of the model is required. Finally, during the 3D mesh reconstruction, the inner edge adjacency list and optimal selection principle are set to improve the robustness of the whole system. Simulation experiments show that the proposed 3D mesh reconstruction can naturally reflect the detailed features of objects in the big data platform, especially effective for the scattered point cloud.

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Section: Introductionmentioning

confidence: 91%

R3MR: Region Growing Based 3D Mesh Reconstruction for Big Data Platform

Zhang

et al. 2020

IEEE Access

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“…Volume calculation [2][3], tree detection [4], shoreline detection [5], cultural heritage modelling [6][7], landslide site mapping [8][9], rockfall site mapping [10], energy line detection [11], coastal cliff mapping [12], road distress studies [13] and urban mapping [14] have been implemented using UAV point clouds in recent years. Moreover, Lucieer et al [15] have determined horizontal displacements of a landslide using two DEMS with UAV.…”

Section: Introductionmentioning

confidence: 99%

Modelling Ozancık village (Aksaray) in computer environment using UAV photogrammetry

Yilmaz

AKTAN>

ÇOLAK

et al. 2022

Mersin Photogrammetry Journal

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Modelling the terrain with high accuracy is vital to create modern settlement areas, and to find solutions that threaten the people. Traditional land surveying is a time-consuming and expensive method. Unmanned aerial vehicle (UAV) is a powered aerial vehicle without a human operator. UAV related case study publications have been increased since last two decades. Detailed three-dimensional (3D) information on the land surface can be obtained from high spatial resolution point clouds. Modelling the terrain requires up-to date information. UAV can provide high-resolution images with low cost in the order of centimeters. We can reconstruct the terrain in a 3D representation using photogrammetry. In this study, we model a village located in Aksaray city using UAV photogrammetry. We created the orthomosaic and Digital Surface Map (DSM) of the region to characterize the terrain in detail. The obtained model and maps will help us to generate modern living space.

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“…Gençerk (2016) sought to make excavation-fill estimates, monitor field studies, and determine their accuracy for application in engineering projects due to evaluating photographic overlay sets obtained by UAVs using photogrammetric methods. It is conducted with forest construction (e.g., excavation, filling, and road construction) and mapping works (Akgul et al, 2016;Buğday, 2018;Aktürk and Altunel, 2019;Yurtseven, 2019;Eker and Aydın, 2020;Zeybek and Şanlıoğlu, 2020).…”

Section: Introductionmentioning

confidence: 99%

İnsansız Hava Araçlarının Orman Yolu Projelerinde Kullanımı

KINALI

Çalışkan

2022

Bartın Orman Fakültesi Dergisi

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Yol ağları, ülkelerin gelişmişlik düzeyini gösteren bir ölçüt olarak kabul edilmektedir. Hiç şüphesiz kara yollarının insan hayatını kolaylaştırmada rolü oldukça önemlidir. Bununla birlikte kara yolu güzergâhları çeşitli arazi kullanım tipi ve örtüsünün bulunduğu alanlardan geçebilen yüksek maliyetli arazi ölçme çalışmalarını içermektedir. Ormanlık alanlarda inşa edilecek orman yol güzergâhları için arazi yüzeyini temsil eden noktalar çeşitli ölçme yöntemleri (uzaktan algılama, fotogrametri ve yersel ölçüm teknikleri) ile elde edilebilmektedir. Arazi yapısına ve örtüsüne bağlı olarak yersel ölçme teknikleri ile konumsal noktaların tespitinde güçlüklerle karşılaşılmaktadır. Sık ormanlık alanlarda, arazi yüzeyinde konumsal nokta toplama işlemi maliyeti arttırmakta ve uzun zaman almaktadır. Bu çalışmada yersel ölçüm tekniğine bir alternatif olarak İnsansız Hava Aracı (İHA) fotogrametrisi yardımı ile yaklaşık 341 m uzunluğunda orman yolu kazı ve dolgu hesapları gerçekleştirilmiştir. Gerçek zamanlı kinematik (RTK) GPS’li İHA ile farklı yüksekliklerden (50 m, 75 m ve 100 m) çekilen fotoğraf çiftleri Agisoft ile işlenerek nokta bulutu üretilmiştir. Dijital fotogrametri ve arazi ölçüm yöntemleri ile elde edilen nokta bulutu verileri aynı yol güzergâhı için kazı ve dolgu hesabı NetCAD ortamında gerçekleştirilmiştir. İki yöntem arasında, yersel ölçüm ile elde edilen İHA 50 m, 75 m ve 100 m ölçümlerinde; İHA 50m ölçüm miktarının hesabında toplam kazı miktarında %0,27 ve toplam dolgu miktarında %1,08 fark, İHA 75m ölçüm miktarının hesabında toplam kazı miktarında %2,51 ve toplam dolgu miktarında %5,22 fark ile İHA 100m ölçüm miktarının hesabında toplam kazı miktarında %3,13 ve toplam dolgu miktarında %2,53 fark belirlenmiştir. Bu sonuçlar, İHA fotogrametrisinin dağlık arazide orman yolu projelerinde ve toprak hacmi miktarının hesaplanmasında oldukça etkili olduğunu göstermektedir.

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Investigation of landslide detection using radial basis functions: a case study of the Taşkent landslide, Turkey

Cited by 14 publications

References 48 publications

R3MR: Region Growing Based 3D Mesh Reconstruction for Big Data Platform

R3MR: Region Growing Based 3D Mesh Reconstruction for Big Data Platform

Modelling Ozancık village (Aksaray) in computer environment using UAV photogrammetry

İnsansız Hava Araçlarının Orman Yolu Projelerinde Kullanımı

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