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There are generally two kinds of LIDAR, airborne and terrestrial. Terrestrial LIDAR is outstanding for its high accuracy, hyper speed and high density. A single range image of terrestrial LIDAR usuall...
Complete scene description by using terrestrial LIDAR systems usually requires multiple scans from different stations. Point cloud of each scan is associated to its own coordinate system on a station ...
This paper describes an algorithm framework for registration of airborne based laser scanning data (LIDAR) and optical images by using multiple types of geometric features. The technique utilizes 2D/3...
Interferometric Synthetic Aperture Radar (INSAR) is a good technique to produce high resolution digital elevation model (DEM), to detect small earth motions, and so on. Therefore, it is very useful to...
Automatic registration of image sequences has been a subject of research for many years, both in the photogrammetric and computer vision communities. As part of the automation, linear orientation me...
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...
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...
Laser scanning, whether airborne or terrestrial is being used nowadays for wide spectrum of applications. In addition, many advances have been introduced to the laser scanning technology in the last d...
Super-Resolution (SR) is a technique to construct a high-resolution (HR) frame by fusing a group of low-resolution (LR)frames describing the same scene. The effectiveness of the conventional super-res...

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