Advanced Point Cloud Processing
نویسنده
چکیده
The high pulse frequencies of today’s airborne, mobile and terrestrial laser scanners enable the acquisition of point clouds with densities from some 20-50 points/m for airborne scanners to several thousands points/m for mobile and terrestrial scanners. For the (semi-)automated extraction of geo-information from point clouds these high point densities are very beneficial. The large number of points on the surfaces of objects to be extracted describe the surface geometry with a high redundancy. This allows the reliable detection of such surfaces in a point cloud. In this paper various examples are presented on how point cloud segmentations can be used to automatically extract geo-information. The paper focusses on the extraction of man-made objects in the urban environment. The examples include the processing of point clouds acquired by airborne, mobile as well as terrestrial laser scanners. The usage of generic knowledge on the objects to be mapped is shown to play a key role in the automation of the point cloud interpretation.
منابع مشابه
A novel method for locating the local terrestrial laser scans in a global aerial point cloud
In addition to the heterogeneity of aerial and terrestrial views, the small scale terrestrial point clouds are hardly comparable with large scale and overhead aerial point clouds. A hierarchical method is proposed for automatic locating of terrestrial scans in aerial point cloud. The proposed method begins with detecting the candidate positions for the deployment of the terrestrial laser scanne...
متن کاملA multi-scale convolutional neural network for automatic cloud and cloud shadow detection from Gaofen-1 images
The reconstruction of the information contaminated by cloud and cloud shadow is an important step in pre-processing of high-resolution satellite images. The cloud and cloud shadow automatic segmentation could be the first step in the process of reconstructing the information contaminated by cloud and cloud shadow. This stage is a remarkable challenge due to the relatively inefficient performanc...
متن کاملCloud Computing Technology Algorithms Capabilities in Managing and Processing Big Data in Business Organizations: MapReduce, Hadoop, Parallel Programming
The objective of this study is to verify the importance of the capabilities of cloud computing services in managing and analyzing big data in business organizations because the rapid development in the use of information technology in general and network technology in particular, has led to the trend of many organizations to make their applications available for use via electronic platforms hos...
متن کاملAn Efficient Resource Allocation for Processing Healthcare Data in the Cloud Computing Environment
Nowadays, processing large-media healthcare data in the cloud has become an effective way of satisfying the medical userschr('39') QoS (quality of service) demands. Providing healthcare for the community is a complex activity that relies heavily on information processing. Such processing can be very costly for organizations. However, processing healthcare data in cloud has become an effective s...
متن کاملA Novel Method for VANET Improvement using Cloud Computing
In this paper, we present a novel algorithm for VANET using cloud computing. We accomplish processing, routing and traffic control in a centralized and parallel way by adding one or more server to the network. Each car or node is considered a Client, in such a manner that routing, traffic control, getting information from client and data processing and storing are performed by one or more serve...
متن کامل