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Very High Resolution (VHR) satellite images offer a great potential for the extraction of land-use and land-cover related information for urban areas. The available techniques are diverse and need to be further examined before operational use is possible. In this paper we applied two pixel-by-pixel classification techniques and the object-oriented image(More)
CHRIS/Proba represents a new generation of hyperspectral-oriented data that provides different viewing angles of the same scene. This multi-angle acquisition, with 18 bands between 0.4-1 µm at five different angles, can substantially improve characterization of various land-cover types. However, with around 18m pixel size, the spatial resolution is still(More)
photography shows that the use of threshold values that favor the application of models with a small number of endmembers performs better compared to scenarios that make use of models with more endmembers. Detailed analysis of model selection for pixels with different land-cover composition indicates that the error in fraction estimation is partly related(More)
Since 2008 more than half of the world population is living in cities and urban sprawl is continuing. Because of these developments, the mapping and monitoring of urban environments and their surroundings is becoming increasingly important. In this study two object-oriented approaches for high-resolution mapping of sealed surfaces are compared: a standard(More)
Previous work on spectral unmixing of medium-resolution multispectral data for mapping of sealed surfaces has pointed out the limitations of the approach, which are mostly related to the confusion between sealed surface materials and spectrally similar non-artificial land-cover types. Use of hyperspectral data may improve the accuracy of sealed surface(More)