Search results for: OPTD METHOD, LIDAR DATA PROCESSING, DATASET - Bridge of Knowledge

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Search results for: OPTD METHOD, LIDAR DATA PROCESSING, DATASET
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Search results for: OPTD METHOD, LIDAR DATA PROCESSING, DATASET

  • The OptD-multi method in LiDAR processing

    Publication

    - MEASUREMENT SCIENCE & TECHNOLOGY - Year 2017

    New and constantly developing technology for acquiring spatial data, such as LiDAR (light detection and ranging), is a source for large volume of data. However, such amount of data is not always needed for developing the most popular LiDAR products: digital terrain model (DTM) or digital surface model. Therefore, in many cases, the number of contained points are reduced in the pre-processing stage. The degree of reduction is determined...

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  • Reduction of measurement data before Digital Terrain Model generation vs. DTM generalisation

    Publication

    - SURVEY REVIEW - Year 2018

    Modern data acquisition technologies provide large datasets that are not always necessary in its entirety to properly accomplish the goal of the study. In addition, such datasets are often cumbersome for rational processing, and their processing is time and labour consuming. Therefore, methods that enable to reduce the size of the measurement dataset, such as the generalization of the Digital Terrain Model (DTM) or the reduction...

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  • MULTI-OBJECTIVE OPTIMIZATION PROBLEM IN THE OptD-MULTI METHOD

    Publication

    - Metrology and Measurement Systems - Year 2019

    New measurement technologies, e.g. Light Detection And Ranging (LiDAR), generate very large datasets. In many cases, it is reasonable to reduce the number of measuring points, but in such a way that the datasets after reduction satisfy specific optimization criteria. For this purpose the Optimum Dataset (OptD) method proposed in [1] and [2] can be applied. The OptD method with the use of several optimization criteria is called...

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  • The Optimum Dataset method – examples of the application

    Publication

    - Year 2018

    Data reduction is a procedure to decrease the dataset in order to make their analysis more effective and easier. Reduction of the dataset is an issue that requires proper planning, so after reduction it meets all the user’s expectations. Evidently, it is better if the result is an optimal solution in terms of adopted criteria. Within reduction methods, which provide the optimal solution there is the Optimum Dataset method (OptD)...

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  • Application of the Optimum Dataset Method in Archeological Studies on Barrows

    Publication

    - Year 2018

    Light Detection and Ranging (LiDAR) became one of the technologies used in archaeological research. It allows for relatively easy detection of archaeological sites that have their own field form, e.g.: barrows, fortresses, tracts, ancient fields [1]. As a result of the scanning, the so-called point cloud is obtained, often consisting of millions of points. Such large measurement datasets are very time-consuming and labor-intensive...

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  • Automatic Threat Detection for Historic Buildings in Dark Places Based on the Modified OptD Method

    Publication

    - ISPRS International Journal of Geo-Information - Year 2020

    Historic buildings, due to their architectural, cultural, and historical value, are the subject of preservation and conservatory works. Such operations are preceded by an inventory of the object. One of the tools that can be applied for such purposes is Light Detection and Ranging (LiDAR). This technology provides information about the position, reflection, and intensity values of individual points; thus, it allows for the creation...

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  • Down-Sampling of Large LiDAR Dataset in the Context of Off-Road Objects Extraction

    Publication

    - Geosciences - Year 2020

    Nowadays, LiDAR (Light Detection and Ranging) is used in many fields, such as transportation. Thanks to the recent technological improvements, the current generation of LiDAR mapping instruments available on the market allows to acquire up to millions of three-dimensional (3D) points per second. On the one hand, such improvements allowed the development of LiDAR-based systems with increased productivity, enabling the quick acquisition...

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  • Standard deviation as the optimization criterion in the OptD method and its influence on the generated DTM

    Publication

    - E3S Web of Conferences - Year 2018

    Reduction of the measurement dataset is one of the current issues related to constantly developing technologies that provide large datasets, eg. laser scanning. It could seems that presence and evolution of processors computer, increase of hard drive capacity etc. is the solution for development of such large datasets. And in fact it is, however, the “lighter” datasets are easier to work with. Additionally, reduced datasets can...

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  • Methods for quality improvement of multibeam and LiDAR point cloud data in the context of 3D surface reconstruction

    Publication

    Point cloud dataset is the transitional data model used in several marine and land remote-sensing applications. During further steps of processing, the transformation of point cloud spatial data to more complex models containing higher order geometric structures like edges and facets may be possible, if an appropriate quality level of input data is provided. Point cloud datasets usually contain a considerable amount of undesirable...

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  • Processing of LiDAR and Multibeam Sonar Point Cloud Data for 3D Surface and Object Shape Reconstruction

    Publication

    Unorganised point cloud dataset, as a transitional data model in several applications, usually contains a considerable amount of undesirable irregularities, such as strong variability of local point density, missing data, overlapping points and noise caused by scattering characteristics of the environment. For these reasons, further processing of such data, e.g. for construction of higher order geometric models of the topography...

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