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Radar Imaging using SAR systems provides specific information that is very useful in the frame of "Digital Earth" applications (i.e. flood supervision, forestry or agriculture watch,). The main intere...
Fundamental matrix is an algebraic expression of the epipolar geometry, and plays a very important role in the computer vision. It is all along an important research topic that how to raise the precis...
Airborne laser scanner technique is broadly the most appropriate way to acquire rapidly and with high density 3D data over a city.Once the 3D Lidar data are available, the next task isthe automatic da...
Automated detection and 3D modelling of objects in laser range data is of great importance in many applications. Existing approaches to object detection in range data are limited to either 2.5D data (...
Photointerpretation of geologic lineaments is a subjective process. Therefore there is a need for automation of lineament mapping using optimal edge detection techniques. Efforts made in this direct...
The paper presents an original method for object detection. The “texture” Hough transform is used as the main tool in the search. Unlike classical generalized Hough transform, this variation uses te...
In close-range images, normally a large number of geometrical features is available. For photogrammetrists, the detection of shapes such as straight lines is very useful. These features are very helpf...
It is known that Hough transform is insensitive to noise and the desired results can be acquired even in the damaged image. Because of its applicability to the image with variations such as rotations ...
Laser scanners are often used to create accurate 3D models of buildings for civil engineering purposes, but the process of manually vectorizing a 3D point cloud is time consuming and error-prone (Ada...

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