LIght Detection And Ranging (LIDAR) for terrain and land surveying has contributed to many environmental, engineering and civil applications. However, the analysis of Digital Surface Models (DSMs) from complex LIDAR data is still challenging especially for highly sloped landscapes. Commonly, the first task to investigate LIDAR data point clouds is to separate ground and object points as a prepa...

Laser scanning data has been an important raw source for building model extraction. However, the automatic reconstruction of building model is still a problem. Roof plane Extraction from point cloud is a key step to building reconstruction, which can be easily affected by the noise existed in laser scanning data. It is often difficult to determine which plane a point should belong to when the p...

Cloud computing represents today’s most exciting computing archetype. It gives computing via internet. Cloud systems can be used to enable data sharing capabilities and this can provide abundant of benefits to the user. It is the most important trend in cloud technology for allows users to access data expediently. Privacy and security is the big challenge for stored data in cloud. Most existing...

Domain keywords extraction is very important for information extraction, information retrieval, classification, clustering, topic detection and tracking, and so on. TextRank is a common graph-based algorithm for keywords extraction. For TextRank, only edge weights are taken into account. We proposed a new text ranking formula that takes into account both edge and node weights, named F2N-Rank. E...

With the advent of Internet since 1990’s, we have seen a tremendous growth in the volume of online text documents available on the Internet, news sources, and company-wide intranets. There is increasingly need for tools to deal with text documents. This white paper briefly presents the different perspectives of document categorization, the document similarity, and keywords extraction also is ap...

Mobile terrestrial laser scanners (MTLS) produce huge 3D point clouds describing the terrestrial surface, from which objects like different street furniture can be generated. Extraction and modelling of the street curb and the street floor from MTLS point clouds is important for many applications such as right-of-way asset inventory, road maintenance and city planning. The proposed pipeline for...

in this study, the trace amounts of erythrosine, as a food dye is determined by cloud point extraction-scanometry (cpe-scanometry) as a new, facile, available, fast, sensitive, and low cost method. the method is based on the cpe of analyte from aqueous solution, diluting the extracted surfactant-rich phase with ethanol, transfer to plexiglas®cell and scanning the cells containing the analyte so...

A new algorithm for deriving skeletons and segmentations from point cloud data in O(n) time is explained in this publication. This skeleton is represented as a graph, which can be embedded into the point cloud. The CAMPINO method, (C)ollapsing (A)nd (M)erging (P)rocedures (IN) (O)ctree-graphs, is based on cycle elimination in a graph as derived from an octree based space division procedure. The...

A relative height threshold is defined to separate potential roof points from the point cloud, followed by a segmentation of these points into homogeneous areas fulfilling the defined constraints of roof planes. The normal vector of each laser point is an excellent feature to decompose the point cloud into segments describing planar patches. An object-based error assessment is performed to dete...