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Rule-based Classification of Airborne Laser Scanner Data for Automatic Extraction of 3D Objects in the Urban Area

Bui Ngoc Quy, Le Dinh Hien, Duong Anh Quan, Nguyen Quoc Long

Inżynieria Mineralna

2021

no. 2

103--114

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.

Ecological Assessment of the Current State of Environmental Components on the Territory of the Impact of Cement Production Industry

Strizhenok A. V., Ivanov A. V.

Journal of Ecological Engineering

2017

Vol. 18, nr 6

160--165

The monitoring of the environmental components condition, exposed to the influence of the cement production enterprises, was the aim of the conducted research. One of the largest cement production factories in Russia, where the territory of negative impact has a total area of over 300 square kilometers, was the object of the study. The observations of the dust content in atmospheric air, as well as the determination of degradation degree of vegetation in the area of influence of the considered production facility were conducted. Chemical and granulometric composition of the cement dust, which is emitted in atmospheric air, were identified in the laboratory. Mapping model, which indicates the complex ecological welfare of the territory, exposed to the cement production industry, was compiled by the authors on the basis of the data, obtained in conducted research. The mapping model takes into account both the content of dust in near-ground atmosphere, and the extent of its deposition to soil, vegetation and surface water bodies.