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Traditionally, image registration approaches are classified to two categories: area-based methods and feature-based methods, where the latter use corresponding features as control objects. As the most...
The landscape of the Niger Delta region of Nigeria is undergoing rapid changes as a result of natural and anthropogenic activities. This necessitates the development of a rapid, cost effective and eff...
With the rapid development of sensor networks and Earth observation technology, a large quantity of disaster-related data is available, such as remotely sensed data, historic data, cases data, simulat...
In this paper we estimate the motion between time-lagged Synthetic Aperture Radar (SAR) image pairs via an implicit quad-tree scheme. The algorithm provides a means to estimate motion at a spatial res...
RapidEye AG was incorporated 1998 as a private enterprise in Germany. RapidEye's approach to building the space and ground infrastructure is to task an experienced general contractor to deliver the en...
In the context of 3D building model production or updating, the models have to be manually checked one by one by a human operator in order to ensure their quality. In this paper, we investigate a new ...
Airborne laser scanning has become a significant 3D data acquisition technique in the field of surveying. By measuring point clouds defined in three-dimensional coordinates, this technique provides al...
In this paper, we tackle the problem of automatic building reconstruction using digital elevation model and cadastral data. We aim at massive production of 3D urban models and present thus an algorith...
Airborne laser scanning has become a significant 3D data acquisition technique in the field of surveying. By measuring point clouds defined in three-dimensional coordinates, this technique provides al...
This contribution concentrates on the determination of thematic uncertainty after the classification process. It is shown that in this context – in particular when evaluating remotely sensed scenes sh...
The key step in object-oriented image classification is the segmentation of the image into discrete meaningful objects. Generally the relation between the segmentation parameters and the corresponding...
Informal settlements behave very dynamical over space and time and the number of people living in such housing areas is growing worldwide. The reasons for this dynamical behaviour are manifold and are...
The Support Vector Machine is a theoretically superior machine learning methodology with great results in classification of highdimensional datasets and has been found competitive with the best machin...
The accurate discrimination of forest from natural non-forest areas in Greece presents great interest, since nowadays there is an ongoing effort to develop a Forest Cadastre system. We evaluated the p...
In some circumstances, it is difficult to obtain highly accurate control data or suitable reference images for rectifying high-resolution satellite images. And using the rectified low-resolution image...

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