Lidar Data
SPATIAL ANALYSIS FOR OUTLIER REMOVAL FROM LIDAR DATA
... three-dimensional data with reasonable cost and time. 3-D data acquired by this technology are applicable in 3-D urban modeling, DTM generation, mapping and ...Although LiDAR data present high ...
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Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood
... of data from different sensors to become more widespread for improving classification ...of data which are provided from different sensors, increase the spatial and the spectral ...accuracy. Lidar ...
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DETERMINATION OF OPTIMUM CLASSIFICATION SYSTEM FOR HYPERSPECTRAL IMAGERY AND LIDAR DATA BASED ON BEES ALGORITHM
... and LiDAR data in different application, such as forest structure analysis, urban area mapping, identification of tree species, forest fire management, ...works, LiDAR data is used for ...
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MANGROVE FOREST COVER EXTRACTION OF THE COASTAL AREAS OF NEGROS OCCIDENTAL, WESTERN VISAYAS, PHILIPPINES USING LIDAR DATA
... Derived: Data processing in mangrove extraction was done using LiDAR data derivatives, namely CHM (canopy height model), DSM (digital surface model), DTM (digital terrain model), hillshade, ...
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A NOVEL METHOD FOR AUTOMATION OF 3D HYDRO BREAK LINE GENERATION FROM LIDAR DATA USING MATLAB
... of LiDAR elevation data and LiDAR intensity data to automatically detect water ...against LiDAR intensity data since the spectral reflectance of water bodies is very small ...
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Automatic 3D Extraction of Buildings, Vegetation and Roads from LIDAR Data
... 3D LIDAR data has a very important role in the scientific community given its importance for modeling an urban scene, as it can significantly reduce the resources required for data analysis and 3D ...
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INDOOR MOBILE POSITIONING BASED ON LIDAR DATA AND CODED SEQUENCE PATTERN
... test LiDAR data and images were captured in the viewpoints approximately every ...of LiDAR data and images were selected to fully test the robustness of proposed ...
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Extraction of fluvial networks in lidar data using marked point processes
... The automatic extraction of line-networks from images or lidar data (e.g. from Digital Terrain Models, DTM) is of great interest in various disciplines. For instance, roads in remote sensing data ...
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INTEGRATING SMARTPHONE IMAGES AND AIRBORNE LIDAR DATA FOR COMPLETE URBAN BUILDING MODELLING
... airborne LiDAR point clouds and ground image point clouds generated from smartphone ...algorithms. LiDAR point cloud corresponding to the target building captured in the image set is found by using the GPS ...
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A method for parameterising roughness and topographic sub-grid scale effects in hydraulic modelling from LiDAR data
... original LiDAR data. The sampled data were combined with the data in DEM ref to create a Topographical Irregular network (TIN) structure that was then interpolated into a raster model of 1m ...
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An Integrated Method for Mapping Impervious and Pervious Areas in Urban Environments Using Hyperspectral and LiDAR Data
... sensing data (CASI) was conducted for pervious and impervious areas within the City of Surrey road allowance area to provide supporting information for urban flood risk ...of LiDAR data improves the ...
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Comparing the Performance of Ground Filtering Algorithms for Terrain Modeling in a Forest Environment Using Airborne LiDAR Data
... ii) Multi-scale Curvature Classification (MCC). The MCC algorithm is available in the MCC-LiDAR software. The MCC was also developed and maintained by the USFS. The MCC was first proposed by Evans & Hudak ...
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MANGROVE PLANTATION FOREST ASSESSMENT USING STRUCTURAL ATTRIBUTES DERIVED FROM LIGHT DETECTION AND RANGING (LiDAR) DATA
... This research is funded by the Department of Science and Technology (DOST) under the Nationwide Detailed Resource Assessment Using LiDAR (Phil-LiDAR 2), Project 3: Forest Resource Extraction from ...
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SEQUENTIAL MODELLING OF BUILDING ROOFTOPS BY INTEGRATING AIRBORNE LIDAR DATA AND OPTICAL IMAGERY: PRELIMINARY RESULTS
... We propose a sequential modelling algorithm to improve an existing model derived from LiDAR data (L-Model) by integrating it with lines detected from single optical imagery (I- Lines). Figure 1 shows an ...
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AIRBORNE MULTISPECTRAL LIDAR DATA FOR LAND-COVER CLASSIFICATION AND LAND/WATER MAPPING USING DIFFERENT SPECTRAL INDEXES
... acquire LiDAR data for three strips (L1, L2, and L3), was conducted on September 3 rd , ...of LiDAR data were clipped from L1 (Site I), Figure 1, and L3 (Site II), Figure 2, with the dimension ...
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Modeling and mapping basal area of Pinus taeda L. plantation using airborne LiDAR data
... airborne LiDAR data. The most useful LiDAR metrics for assessing BA were H99TH, HCV and ...the LiDAR data once a robust model was ...this LiDAR- based approach is capable of ...
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POINTS CLASSIFICATION BY A SEQUENTIAL HIGHER – ORDER MOMENTS STATISTICAL ANALYSIS OF LIDAR DATA
... Figure 1b. Skewness and kurtosis values after removing at each step of the procedure the higher intensity values (see Fig. 1a). It is possible to note how during the running steps (cycles), when the ground intensity ...
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AUTOMATIC THICKNESS AND VOLUME ESTIMATION OF SPRAYED CONCRETE ON ANCHORED RETAINING WALLS FROM TERRESTRIAL LIDAR DATA
... Processing LiDAR data can be very demanding for computer memory, as there are for example, more than 100 million data points in a detailed view of the whole ...full data set, focusing on a ...
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TOPOLOGICAL 3D MODELING USING INDOOR MOBILE LIDAR DATA
... We focus on a region-based point clustering to extract a polygon from a massive point cloud. In the region-based clustering, RANSAC is a suitable approach for estimating surfaces. However, local workspace selection is ...
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GEOMETRIC QUALITY ASSESSMENT OF LIDAR DATA BASED ON SWATH OVERLAP
... as Data Quality Measure ...a lidar system to the data acquisition process and to the geometric quality of data cannot be ...of lidar system, including the lidar ...
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