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Accurate monitoring of urban areas using remote sensing data requires reliable change detection techniques. Nevertheless, while most of the changes are optically visible and easily detectable by an expert user, automatic processes are quite difficult to develop. That is why, the interpretation of changes has remained up-to-now visual in most operational applications in remote sensing. This paper provides...
A new method is presented which combines a deterministic analytical method and a probabilistic measure to classify rock types on the basis of their hyperspectral curve shape. This method is a supervised learning algorithm using Gaussian Processes (GPs) and the Observation Angle Dependent (OAD) covariance function. The OAD covariance function makes use of the properties of the Spectral Angle Mapper...
As an important type of wetlands, fish-pond provides a number of important ecosystem services. It was easily affected by human activities such as the change of cultivation structure. Tracking the fast change of fish-pond can obtain the information that the environment is impacted by human activities to what extent. In this study, we proposed a change detection procedure in order to delineate fast...
Land use/cover is the most prominent landscape sign of the earth surface system. Remote sensing technology provides the land use/cover information quickly and precisely. With the recent high-resolution commercial satellites successfully launched, the image may provide abundant geometrical and spatial information, including texture, structure and shape of ground target and so on. Traditional pixel-based...
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