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Data fusion techniques require a good registration of all the used datasets. In remote sensing, images are usually geo-referenced using the GPS and IMU data. However, if more precise registration is r...
Currently, enhanced types of active range imaging devices are available for capturing dynamic scenes. By using intensity and range images, data derived from different or the same range imaging devices...
Laser scanner is noncontact instrument to measurement of spatial data. It measures object surfaces as point series and visualize as point cloud. One of the important steps on processes of laser scanni...
Automatic water-body extraction from remote sense images is a challenging problem. Using GIS data to update and extract waterbody is an old but active topic. However, automatic registration and change...
Increase in the number of satellites and the utilization of digital cameras in the aerial photography has spread the use of satellite image and oriented aerial photograph as real or near-real time res...
Digital information technology always needs more information about object and its relations. Thus, three-dimensional (3D) models of historical structures are created for visualize and documentation of...
This paper presents an innovative methodology for the registration of multiple satellite scenes by using a global Least Squares adjustment. The main advantage in relation to traditional approaches con...
The production of realistic 3D map databases is continuously growing. We studied an approach of 3D mapping database producing based on the fusion of heterogeneous 3D data. In this term, a rigid reg...
Recently the importance of intellectual property has been increased. There has been various ways of research on analy- sis of companies, forecast of technology and so on through patents and many inves...
Educational solutions for allied health professionals (AHP’s) need to stimulate problem-solving skills although AHP’s seldom have the opportunity to develop these skills in a paediatric environment pr...
The registration of multiple surface point clouds into a common reference frame is a well addressed topic, and the Iterative Closest Point (ICP) is – perhaps – the most used method when registering la...
The estimation of the transformation parameters between different point clouds is still a crucial task as it is usually followed by scene reconstruction, object detection or object recognition. Theref...
This paper presents an automated methodology able to register laser scanning point clouds using their panoramic images derived from intensity values or RGB data, the latter obtained from a co-register...
Image registration is essential for geospatial information systems analysis, which usually involves integrating multitemporal and multispectral datasets from remote optical and radar sensors. An algor...
Aerial imagery and LIDAR points are two important data sources for building reconstruction in a geospatial area. Aerial imagery implies building contours with planimetric features; LIDAR data explicit...

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