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Collecting ground truth data is an important step to be accomplished before performing a supervised classification. However, its quality depends on human, financial and time ressources. It is then imp...
Many global problems can be estimated and forecasted by remote sensing with its advantage of periodicity, objectivity and large scale scope, besides plant area estimation. Conventional classification ...
Over the past thirty years, in excess of 36 billion dollars has been invested in the collection of spatial information across the public sector in Europe (PIRA, 2000). There is a clear imperative now ...
Vagueness is often considered as an inherent property of spatiotemporal phenomena. In order to reduce this vagueness, integrity constraints should be defined to improve logical consistency of spatiote...
A novel registration algorithm using Local consistency of point dispersion (LCPD) is proposed, which is based on a new type of measure of consistency between two sets of point data. It is expected to ...
Vector data is captured using various methods, e.g. manual digitizing, automatic vectorization etc. Errors or inconsistencies, e.g. self-cutting polygons, identical points etc, can not be avoided, ev...
Snow cover is a sensitive indicator of global climate change. Among various snow cover parameters, snow depth which can indicate snow accumulation is essential for retrieving snow water equivalent. In...
Considering the actual research purpose, this paper has shown the limitations of the existing radiometric normalization approaches and their disadvantages in change detection of artificial objects by ...

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