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In recent years, extensive research has been conducted to automatically generate high-accuracy and high-precision road orthophotos using images and laser point cloud data acquired from a mobile mappin...
Since satellite and aerial imageries are recently widely spread and frequently observed, combination of them are expected to complement spatial and temporal resolution each other. One of the prospecti...
In this paper, we propose an original method for objects detection based on a special tree-structured image representation the trees of morphlets. The method provides robust detection of various typ...
This paper investigates the necessity of detailed surface representation in order to generate a feasible platform for the detailed simulation of urban runoff and surface flooding caused by heavy rai...
In the case of natural hazards the spatial extent of the disaster area is usually large. It is often difficult to conduct search and rescue operations from the ground. Such operations are often hinder...
The paper presents a novel artificial neural network type, which is based on the learning rule of the Kohonen-type SOM model. The developed Self-Organizing Neuron Graph (SONG) has a flexible graph s...
The method of 3D-object detection by stereo image processing is considered where object is situated on the smooth surface. Stereo image is obtained by passive sensor such as TV-camera, IR-camera and s...
In the paper we propose the method of object detection based on analysis of orthophoto images difference. Object is registered stereoscopically on smooth surface of arbitrary shape. Orthophoto images ...
In recent years, there has been a substantial increase in the availability of high-resolution commercial satellite imagery, enabling a variety of new remote-sensing applications. One of the main chall...
This paper describes a method that aims to find all instances of a certain object in Mobile Laser Scanner (MLS) data. In a userassisted approach, a sample segment of an object is selected, and all sim...
With rapid developments in satellite and sensor technologies, there has been a dramatic increase in the availability of high resolution (HR) remotely sensed images. Hence, the ability to collect image...
This paper presents a motion detection and object tracking technique for digital video surveillance applications. Motion analysis algorithms are based on processing of multiple-regression pseudospectr...
Mobile mapping is used for asset management, change detection, surveying and dimensional analysis. There is a great desire to automate these processes given the very large amounts of data, especially ...
In this paper we describe a new approach for the extraction of urban objects from very high resolution (VHR) optical stereo satellite imagery. Such data is delivered from sensors like Ikonos, QuickBir...

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