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Urban dynamics such as (extreme) growth and shrinkage bring about fundamental challenges for urban land use and related changes. In order to achieve a sustainable urban development, it is crucial to...
This paper investigates into the model-based reconstruction of complex polyhedral building roofs. A set of 3D line segments, obtained from multiview correspondence analysis of high resolution colour ...
Tracking of multiple objects from ‘real world’ is one of the most complicated problems in computer vision since the behaviour/motion of these objects is unpredictable and cannot be assumed. Tracking...
A new approach for hybrid matching based on polynomial models is proposed. Polynomial plays a key role in matching process; while the Efficiency Index measures the accuracy of the matching result. A...
In this paper, a new method for reconstruction of 3D segments from multiple images in urban areas environment is presented. Compared to previous algorithms, this one performs the matching of 2D segme...
Since Airborne laser scanning sensors are operational and the data capture, including the calculation of the exterior orientation by using GPS and INS, has reached a high level of automation, the fo...
This paper deals with the purpose of a methodology integrating different surveying techniques to efficiently produce a large-scale digital mapping of urban areas. At first, a comparison among method...
The extraction of road crossings is often neglected by systems for automatic road extraction. Frequently, crossings arise as by-products of the grouping step. This leads to geometrical inaccuracies a...
Recent increase in number of pixels of images acquired by a non-metric digital camera encourages an amateur to utilize it for 3D measurement. Most of current camera calibration methods are inconveni...
FIFEDOM (Frequent-Image-Frames Enhanced Digital Ortho-rectified Mapping) is an ongoing, multidisciplinary research project aiming to provide low-cost, information-rich digital mapping through the dev...
The paper presents a road junction operator, which was developed for medium resolution black-and-white orthoimages. The operator uses a feed-forward neural network applied for a running window to de...
In digital photogrammetry applications such as digital elevation model generation (DEM), demanding highly detailed images, it is often not feasible or sometimes possible to acquire images of such hi...
The filtering of a laser scanner point-cloud to abstract the bald earth has been an ongoing research topic in laser altimetry. To date a number of filters have been devised for extracting DEMs from l...
An object recognition system for industrial inspection that recognizes objects under similarity transformations in real time is proposed. It uses novel similarity measures that are inherently robust ...
In this paper we describe our recent work on the automatic extraction of trees from high resolution aerial images. In order to be more independent of color information we have investigated textural ...

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