[PDF] Top 20 TENSOR MODELING BASED FOR AIRBORNE LiDAR DATA CLASSIFICATION
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TENSOR MODELING BASED FOR AIRBORNE LiDAR DATA CLASSIFICATION
... automatic classification of objects, machine learning classifiers were widely used ...the classification ( Garcia-Gutierreza et al, 2009), by training data and make a hierarchical binary tree model, ... See full document
5
Modeling and mapping basal area of Pinus taeda L. plantation using airborne LiDAR data
... and airborne LiDAR (Light Detection and Ranging) data for estimation of basal area in Pinus taeda plantation in south ...from LiDAR-derived metrics were developed and evaluated for predictive ... See full document
11
AIRBORNE MULTISPECTRAL LIDAR DATA FOR LAND-COVER CLASSIFICATION AND LAND/WATER MAPPING USING DIFFERENT SPECTRAL INDEXES
... is based on radar equation and the correction is mainly for the range and the scan ...intensity data as a pre-processing step before NDFIs calculation, thus making water intensity values more ...the ... See full document
8
3D LAND COVER CLASSIFICATION BASED ON MULTISPECTRAL LIDAR POINT CLOUDS
... its classification capabilities using data from multispectral laser scanning for land cover ...The data density analysis showed the influence of the laser ...multispectral airborne ... See full document
7
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 & ... See full document
10
EVALUATING THE POTENTIAL OF MULTISPECTRAL AIRBORNE LIDAR FOR TOPOGRAPHIC MAPPING AND LAND COVER CLASSIFICATION
... multispectral LiDAR became a promising research field for enhanced LiDAR classification workflows and ...multispectral LiDAR are mainly based on experimental setups, which are often ... See full document
7
High-resolution mapping of forest carbon stocks in the Colombian Amazon
... to airborne LiDAR-calibration with limited field data; (ii) quantifying environmental controls over carbon densities; and (iii) developing stratification- and regression-based ap- proaches for ... See full document
14
Challenges in conditioning a stochastic geological model of a heterogeneous glacial aquifer to a comprehensive soft data set
... cal data that the glacial sequence contains till clay and sand lenses distributed in extremely irregular patterns that are non- ...conditioning data the heteroge- neous and non-stationary structures will ... See full document
17
INDOOR MOBILE POSITIONING BASED ON LIDAR DATA AND CODED SEQUENCE PATTERN
... of LiDAR point data, the methods including SIFT features, Otsu segmentation and Fast Hough transformation for the identification, positioning and interpret of the coded sequence patterns, the POSIT model ... See full document
2
RECONSTRUCTION OF 3D VECTOR MODELS OF BUILDINGS BY COMBINATION OF ALS, TLS AND VLS DATA
... Vehicle based Laser Scanning (VLS) are widely used as data acquisition methods for 3D building ...ALS data is often used to generate, among others, roof models. TLS data has proven its ... See full document
6
Multiuser MIMO system using block space time spreading and tensor modeling
... transmits data to several users equipped with multiple receive ...a tensor modeling. We show that the tensor-based block space–time spreading model has the distinguishing feature of ... See full document
15
A kernel-based multivariate feature selection method for microarray data classification.
... almost based on entropy(or conditional entropy) and mutual information [9,11], such as mRMR [7,12], CFS [13] and several variants of the Markov blanket filter method ... See full document
12
POINTS CLASSIFICATION BY A SEQUENTIAL HIGHER – ORDER MOMENTS STATISTICAL ANALYSIS OF LIDAR DATA
... unsupervised LIDAR points classification by iteratively studying skewness and kurtosis for elevation and intensity point distribution ...of data (elevation or intensity) to analyse at first: the ... See full document
6
SEQUENTIAL MODELLING OF BUILDING ROOFTOPS BY INTEGRATING AIRBORNE LIDAR DATA AND OPTICAL IMAGERY: PRELIMINARY RESULTS
... complete classification and segmentation, but also accurate geometric and topological ...“missing data problem” is caused by various factors such as the object complexity, occlusions/shadows, sensor ... See full document
7
Time-optimized high-resolution readout-segmented diffusion tensor imaging.
... algorithm based on total variation that is applied directly on the entire diffusion ...diffusion tensor is extracted from the diffusion weighted images by means of complex independent component ...diffusion ... See full document
12
IMAGING SPECTROSCOPY AND LIGHT DETECTION AND RANGING DATA FUSION FOR URBAN FEATURES EXTRACTION
... TerraScan LiDAR data collected over part of the University Putra Malaysia (UPM) campus, located in Selangor, Malaysia, were used for this ...an airborne hyperspectral imaging spectrometer designed ... See full document
11
EQUATIONS TO ESTIMATE TREE GAPS IN A PRECISION FOREST MANAGEMENT AREA THE AMAZON BASED ON CROWN MORPHOMETRY1
... trees based on the canopy morphology obtained through forest ...of LIDAR points, dendrometric and morphometric variables were obtained for the canopy in order to develop equations for estimating gap ... See full document
12
Computer Based Asset Management System For Commercial Banks
... because of the need for permeable and flexible boundaries in an organization‘s decision-making and because communication between the various levels is paramount for the overall success of the management process. The ... See full document
7
J. Braz. Chem. Soc. vol.17 número4
... Finally, classification rules established by SIMCA were applied for the qualitative determination of B-group vitamins in the pharmaceutical products A, B and ... See full document
8
Applicability of the Statistical Pattern Recognition Paradigm for Structural Health Monitoring of Bridges
... Throughout the history, the civil engineering has had a key role in our society. It is nearly impossible to imagine the modern society without bridges, railways, dams, tunnels, roads, nuclear stations, power plants, ... See full document
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