Temat: LiDAR data - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Rule-based Classification of Airborne Laser Scanner Data for Automatic Extraction of 3D Objects in the Urban Area
Autorzy:: Bui, Ngoc Quy
Le, Dinh Hien
Duong, Anh Quan
Nguyen, Quoc Long
Powiązania:: https://bibliotekanauki.pl/articles/2019227.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Przeróbki Kopalin
Tematy:: point cloud
Lidar data
NDVI index
classification algorithms
3D city
chmura punktów
indeks NDVI
algorytm klasyfikacji
Opis:: LiDAR technology has been widely adopted as a proper method for land cover classification. Recently with the development of technology, LiDAR systems can now capture high-resolution multispectral bands images with high-density LiDAR point cloud simultaneously. Therefore, it opens new opportunities for more precise automatic land-use classification methods by utilizing LiDAR data. This article introduces a combining technique of point cloud classification algorithms. The algorithms include ground detection, building detection, and close point classification - the classification is based on point clouds’ attributes. The main attributes are heigh, intensity, and NDVI index calculated from 4 bands of colors extracted from multispectral images for each point. Data of the Leica City Mapper LiDAR system in an area of 80 ha in Quang Xuong town, Thanh Hoa province, Vietnam was used to deploy the classification. The data is classified into eight different types of land use consist of asphalt road, other ground, low vegetation, medium vegetation, high vegetation, building, water, and other objects. The classification workflow was implemented in the TerraSolid suite, with the result of the automation process came out with 97% overall accuracy of classification points. The classified point cloud is used in a workflow to create a 3D city model LoD2 (Level of Detail) afterward.
Źródło:: Inżynieria Mineralna; 2021, 2; 103--114
1640-4920
Pojawia się w:: Inżynieria Mineralna
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Reduction of DTM obtained from LiDAR data for flood modeling
Autorzy:: Bakuła, K.
Powiązania:: https://bibliotekanauki.pl/articles/129625.pdf
Data publikacji:: 2011
Wydawca:: Stowarzyszenie Geodetów Polskich
Tematy:: DTM
generalization
lidar
algorithm
data structure
generalizacja
LIDAR
algorytm
struktura danych
Opis:: Recent years the cataclysm of flood has occurred in many regions around the world. For this reason, so much attention is focused on prediction of this cataclysm by creating flood risk maps and hydrodynamic – numerical simulation of flood water which are based on Digital Terrain Model (DTM). The modern techniques for automatic data acquisition provide very abundant amount of points. Actually, Light Detection and Ranging (LiDAR) is the most effective data source for DTM creation with density of one to few points per square meter and good height accuracy of less than 15 cm. This high redundancy of data is essential problem for algorithms used in programs for flood modeling. Many software generating such models are restricted with respect to the maximum number of points in DTM. Hundreds of thousands of points are too large number for complex calculations which describe fluid model of the flood water. In order to obtain reliable and accurate results, it is necessary to have DTM with an appropriate accuracy. The flood disaster also occurs in large areas what usually is associated with large data sets. However, it is possible to provide suitable DTM for flood modeling by its generalization without losing its accuracy, which could still ensure sufficient precision for hydrodynamic – numerical calculations. In this paper six reduction algorithms were tested to obtain DTM with small number of points and with accuracy comparable to the original model created from LiDAR data. The main criteria for this comparison was the relation between accuracy and reduction coefficient of final result. Methods used in this research were based on different DTM structures. GRID, TIN and hierarchical structures were compared in various approaches to obtain the most reduced and the most accurate terrain model of two study areas. As the result of the experiment the best methods for data reduction were chosen. Over 90% reduction rate and less than 20 cm root mean standard error were achieved in practice for different types of terrain with respect to input DTM. It was noted that hybrid and quad-tree grid based models can be even more efficient than a typical uniform GRID or TIN one.
Źródło:: Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2011, 22; 51-61
2083-2214
2391-9477
Pojawia się w:: Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Use of parallel computing in mass processing of laser data
Zastosowanie obliczeń równoległych do masowego przetwarzania danych laserowych
Autorzy:: Będkowski, J.
Bratuś, R.
Prochaska, M.
Rzonca, A.
Powiązania:: https://bibliotekanauki.pl/articles/129799.pdf
Data publikacji:: 2015
Wydawca:: Stowarzyszenie Geodetów Polskich
Tematy:: parallel computing
laser scanning
lidar
data processing
obliczenia równoległe
skanowanie laserowe
LiDAR
przetwarzanie danych
Opis:: The first part of the paper includes a description of the rules used to generate the algorithm needed for the purpose of parallel computing and also discusses the origins of the idea of research on the use of graphics processors in large scale processing of laser scanning data. The next part of the paper includes the results of an efficiency assessment performed for an array of different processing options, all of which were substantially accelerated with parallel computing. The processing options were divided into the generation of orthophotos using point clouds, coloring of point clouds, transformations, and the generation of a regular grid, as well as advanced processes such as the detection of planes and edges, point cloud classification, and the analysis of data for the purpose of quality control. Most algorithms had to be formulated from scratch in the context of the requirements of parallel computing. A few of the algorithms were based on existing technology developed by the Dephos Software Company and then adapted to parallel computing in the course of this research study. Processing time was determined for each process employed for a typical quantity of data processed, which helped confirm the high efficiency of the solutions proposed and the applicability of parallel computing to the processing of laser scanning data. The high efficiency of parallel computing yields new opportunities in the creation and organization of processing methods for laser scanning data.
Publikacja ma na celu przedstawienie części wyników badań, jakie zrealizował zespół badawczy firmy Dephos Software w ramach projektu finansowanego przez UE pt. "Badania nad masowym przechowywaniem, udostępnianiem i przetwarzaniem przestrzennych danych laserowych". Na wstępie publikacji autorzy przedstawiają zasady organizacji algorytmu spełniającego wymogi obliczeń równoległych oraz przybliżają genezę pomysłu prowadzenia badań nad zastosowaniem procesorów graficznych do masowego przetwarzania danych skaningowych. Następnie autorzy prezentują wyniki oceny wydajności działania szeregu różnych procesów przetwarzania danych laserowych, które udało się zasadniczo przyspieszyć dzięki obliczeniom równoległym. Procesy te dzielą się na procesy podstawowe (generowanie ortoobrazów z chmur punktów, kolorowanie chmur punktów, transformacja, generowanie siatki regularnej) oraz procesy zaawansowane (wykrywanie płaszczyzn i krawędzi, klasyfikacja chmur punktów, analiza danych w celu kontroli jakości danych). W większości przypadków algorytmy musiały zostać opracowane całkowicie od nowa pod kątem wymogów przetwarzania równoległego, część korzysta z wcześniejszego dorobku technologicznego firmy Dephos Software, będąc dostosowana do równoległej metody obliczeń w ramach przeprowadzonych badań. W każdym z tych procesów określono czas działania dla typowej ilości danych przetwarzanych, co potwierdziło wysoką wydajność rozwiązań i sens zastosowania obliczeń równoległych w odniesieniu do danych skaningowych. Obliczenia równoległe dzięki swojej wysokiej wydajności otwierają nowe możliwości w tworzeniu i organizacji procesów przetwarzania danych pochodzących ze skaningu laserowego.
Źródło:: Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2015, 27; 45-59
2083-2214
2391-9477
Pojawia się w:: Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Accuracy of tree height estimation based on LIDAR data analysis
Autorzy:: Sterenczak, K.
Zasada, M.
Powiązania:: https://bibliotekanauki.pl/articles/38315.pdf
Data publikacji:: 2011
Wydawca:: Instytut Badawczy Leśnictwa
Tematy:: laser scanning
forest inventory
LIDAR laser scanner
data analysis
segmentation
tree number
Opis:: Some modern remote sensing technologies, including LIDAR (LIght Detection And Ranging), have significantly developed recently. Laser scanners mounted on the airborne platform make it possible to collect very precise information over large areas, including tree and stand heights. A literature review shows that the model-based method of tree height determination underestimates this parameter in comparison to field measurements. The objective of the study was to analyze accuracy of the automatic height estimation of Scots pine stands, based on the airborne laser scanning data and the example of the Milicz Forest District. Applied algorithm of the stand segmentation into individual trees gave systematic and significant underestimation of the number of trees. The minimum tree height was estimated with a large negative error reaching up to several meters. The maximum mean and top heights were determined more precisely, with a small negative error of a few percent. The sum of tree heights was determined with an error exceeding 40%, which is caused mostly by the error in estimation of the number of trees.
Źródło:: Folia Forestalia Polonica. Series A . Forestry; 2011, 53, 2
0071-6677
Pojawia się w:: Folia Forestalia Polonica. Series A . Forestry
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Remote sensing applications - new vistas for measurement and control
Autorzy:: Zaremba, M.
Powiązania:: https://bibliotekanauki.pl/articles/384259.pdf
Data publikacji:: 2008
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: remote sensing
satellite imagery
lidar
image processing
data fusion
distributed control
modeling and simulation
Opis:: The field of remote sensing is an area of science and technology that has undergone rapid development in recent years. This paper focuses primarily on how to exploit the capabilities made available by remote sensing and how to put them to use by combining them with a sys-temic approach to design and analysis in various measurement and control applications. The emphasis is placed on high-resolution satellite and Lidar sensors – the most prevalent remote sensing technologies. Following the presentation of some general issues related to low- and high-level processing of remote sensing data, such as data dimensionality reduction, data fusion, and change detection, the paper provides examples of control-related applications of remote sensing technologies. It is argued that successful exploitation of new generations of remote sensing technologies will require extensive development of new algorithms based on a variety of approaches, such as machine vision, statistical learning, and artificial intelligence.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 3; 3-12
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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