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Cloud screening and tracking by geostationary satellites (GEO) is presently the main information source for estimating cloud coverage and drift for weather forecast and climate research. The coarse p...
This paper is concerned with data and classifications that confuse the concepts of land cover and land use. Conceptual confusion is problematic for data integration and modelling. This has resulted in...
The study of human emissions in the atmosphere and their influence on air quality and climate change is a major scientific issue in today’s atmospheric research. Unmanned Aerial Vehicles (UAV) can be...
This study deals with some applications of the concepts developed by the Theory of Evidence, in remote sensing digital image classification. Data from different sources are used in addition to multis...
Primarily due to the progresses in spatial resolution of satellite imagery, the methods of segment-based image analysis for generating and updating geographical information are becoming more and more ...
The technological evolution of major human activities has been continuously oriented toward higher and higher level of "abstraction". As an example Blue-prints for creation of planes or buildings is ...
While the available, eventually multi-source data from remote sensing systems yield the advantage of producing more features, the crucial point in the scene interpretation workflow is still the big, ...
Sponsored by NASA's Intelligent Systems Project, a conceptual architecture study is under way to address the problem of getting the most societal value from the large volumes of scientific data that ...
Aerial film cameras are highly standardized measuring systems. The race is on to find a digital successor applicable as a photogrammetric measuring device with clear advantages over film, meeting acc...
SEGMENTATION OF HIGH-RESOLUTION REMOTELY SENSED DATA - CONCEPTS, APPLICATIONS AND PROBLEMS.
The Okavango Delta is one of the world’s most fascinating wetland systems. The highly dynamic flooding forms the basis for a multitude of different ecosystems and plant and animal communities. Water s...
This paper describes a likelihood-based segmentation and classification method for remotely sensed images. It is based on optimization of a utility function, described as a function of likelihood of a...
Airborne sensor orientation, particularly for photogrammetric cameras, is of interest because orientation is a key step,between acquisition and iterpretation, which determines the quality and even the...
In the last few decades remote sensing has reached from an experimental to an operational level. The increase in the number of earth observation satellites, the advancement in tools and processing tec...

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