Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark
This study had two main aims:(1) to provide a comprehensive review of terrestrial laser
scanner (TLS) point cloud registration methods and a better understanding of their strengths …
scanner (TLS) point cloud registration methods and a better understanding of their strengths …
Integration of orthoimagery and lidar data for object-based urban thematic map** using random forests
Using high-spatial-resolution multispectral imagery alone is insufficient for achieving highly
accurate and reliable thematic map** of urban areas. Integration of lidar-derived elevation …
accurate and reliable thematic map** of urban areas. Integration of lidar-derived elevation …
Effect of slope on treetop detection using a LiDAR Canopy Height Model
Abstract Canopy Height Models (CHMs) or normalized Digital Surface Models (nDSM)
derived from LiDAR data have been applied to extract relevant forest inventory information …
derived from LiDAR data have been applied to extract relevant forest inventory information …
Automatic building extraction from LiDAR data fusion of point and grid-based features
This paper proposes a method for extracting buildings from LiDAR point cloud data by
combining point-based and grid-based features. To accurately discriminate buildings from …
combining point-based and grid-based features. To accurately discriminate buildings from …
Fusion of airborne laserscanning point clouds and images for supervised and unsupervised scene classification
Automatic urban object detection from airborne remote sensing data is essential to process
and efficiently interpret the vast amount of airborne imagery and Laserscanning (ALS) data …
and efficiently interpret the vast amount of airborne imagery and Laserscanning (ALS) data …
Multiple-entity based classification of airborne laser scanning data in urban areas
There are two main challenges when it comes to classifying airborne laser scanning (ALS)
data. The first challenge is to find suitable attributes to distinguish classes of interest. The …
data. The first challenge is to find suitable attributes to distinguish classes of interest. The …