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LAND COVER CLASSIFICATION FROM FULL-WAVEFORM LIDAR DATA BASED ON SUPPORT VECTOR MACHINES
LiDAR Support Vector Machines (SVM) Full-Waveform Land Cover Classification Waveform decomposition Feature extraction
2016/7/27
In this study, a land cover classification method based on multi-class Support Vector Machines (SVM) is presented to predict the types of land cover in Miyun area. The obtained backscattered full-wave...
AUTOMATIC EXTRACTION AND REGULARIZATION OF BUILDING OUTLINES FROM AIRBORNE LIDAR POINT CLOUDS
Buildings Outlines Algorithm LiDAR Extraction Regularization
2016/7/27
Building outlines are needed for various applications like urban planning, 3D city modelling and updating cadaster. Their automatic reconstruction, e.g. from airborne laser scanning data, as regulariz...
AN IMPROVED SNAKE MODEL FOR REFINEMENT OF LIDAR-DERIVED BUILDING ROOF CONTOURS USING AERIAL IMAGES
Building Roof Contour Refinement Aerial Images Snake Model Greedy Algorithm
2016/7/27
Building roof contours are considered as very important geometric data, which have been widely applied in many fields, including but not limited to urban planning, land investigation, change detection...
RAY-BASED DETECTION OF OPENINGS IN URBAN AREAS USING MOBILE LIDAR DATA
Windows detection Urban 3D reconstruction Building modelling Mobile Lidar data Laser point cloud
2016/7/27
The detection of openings like windows or doors is of great interest in the field of urban modeling. Mobile LIDAR data provides valuable 3D information for that purpose. There are generally two main p...
Automatic 3D Extraction of Buildings, Vegetation and Roads from LIDAR Data
Lidar automatic extraction 3D modelling of building
2016/7/27
Aerial topographic surveys using Light Detection and Ranging (LiDAR) technology collect dense and accurate information from the surface or terrain; it is becoming one of the important tools in the geo...
FOREST STAND SEGMENTATION USING AIRBORNE LIDAR DATA AND VERY HIGH RESOLUTION MULTISPECTRAL IMAGERY
lidar multispectral imagery fusion feature extraction supervised classification energy minimisation forest stand delineation tree species
2016/7/27
Forest stands are the basic units for forest inventory and mapping. Stands are large forested areas (e.g., ≥ 2 ha) of homogeneous tree species composition. The accurate delineation of forest stands is...
CLASSIFICATION OF LIDAR DATA FOR GENERATING A HIGH-PRECISION ROADWAY MAP
Lidar Feature extraction Machine learning Classification Mobile mapping
2016/7/27
Generating of a highly precise map grows up with development of autonomous driving vehicles. The highly precise map includes a precision of centimetres level unlike an existing commercial map with the...
TENSOR MODELING BASED FOR AIRBORNE LiDAR DATA CLASSIFICATION
Feature Selection Tensor Processing KNN classification
2016/7/27
Feature selection and description is a key factor in classification of Earth observation data. In this paper a classification method based on tensor decomposition is proposed. First, multiple features...
AN EFFICIENT METHOD FOR AUTOMATIC ROAD EXTRACTION BASED ON MULTIPLE FEATURES FROM LiDAR DATA
Remote sensing feature extraction pattern recognition LiDAR Road detection
2016/7/27
The road extraction in urban areas is difficult task due to the complicated patterns and many contextual objects. LiDAR data directly provides three dimensional (3D) points with less occlusions and sm...
CHANGE DETECTION OF MOBILE LIDAR DATA USING CLOUD COMPUTING
Point Cloud Cloud Computing Change Detection Mobile Mapping LiDAR
2016/7/27
Change detection has long been a challenging problem although a lot of research has been conducted in different fields such as remote sensing and photogrammetry, computer vision, and robotics. In this...
INTEGRATION OF IMAGES AND LIDAR POINT CLOUDS FOR BUILDING FA茿DE TEXTURING
Fa鏰de Texture GLCM Image
2016/7/8
This paper proposes a model-based method for texture mapping using close-range images and Lidar point clouds. Lidar point clouds are used to aid occlusion detection. For occluded areas, we compensate ...
AIRBORNE LIGHT DETECTION AND RANGING (LIDAR) DERIVED DEFORMATION FROM THE MW 6.0 24 AUGUST, 2014 SOUTH NAPA EARTHQUAKE ESTIMATED BY TWO AND THREE DIMENSIONAL POINT CLOUD CHANGE DETECTION TECHNIQUES
LiDAR Change Detection ICP
2016/7/8
Remote sensing via LiDAR (Light Detection And Ranging) has proven extremely useful in both Earth science and hazard related studies. Surveys taken before and after an earthquake for example, can provi...
3D FEATURE POINT EXTRACTION FROM LIDAR DATA USING A NEURAL NETWORK
3D feature points extraction Mobile Mapping System LiDAR Neural network
2016/7/5
Accurate positioning of vehicles plays an important role in autonomous driving. In our previous research on landmark-based positioning, poles were extracted both from reference data and online sensor ...
EVALUATION OF DRIVER VISIBILITY FROM MOBILE LIDAR DATA AND WEATHER CONDITIONS
Visibility Mobile LiDAR Climatology Road Safety
2016/7/5
Visibility of drivers is crucial to ensure road safety. Visibility is influenced by two main factors, the geometry of the road and the weather present therein. The present work depicts an approach for...
A NEW AUTOMATIC SYSTEM CALIBRATION OF MULTI-CAMERAS AND LIDAR SENSORS
System Calibration LIDAR Multi-Camera Point Cloud
2016/7/5
In the last few years, multi-cameras and LIDAR systems draw the attention of the mapping community. They have been deployed on different mobile mapping platforms. The different uses of these platforms...