URBAN LAND COVER MAPPING USING HYPERSPECTRAL AND MULTISPECTRAL VHR SENSORS: SPATIAL VERSUS SPECTRAL RESOLUTION

In this paper a discussion about the effects of very high resolution (VHR) in both the spatial and the spectral dimensions for urban land cover mapping is proposed. We confirm that VHR spatial sensors are unable to discriminate between some urban materials, since they often come from the same chemical family. However, VHR in the spectral sense sometimes carries too much information, since it differentiates covers made by the same material but with different age or illumination conditions. Finally, after out test with a supervised classifier, we stress the importance to use the context for a more accurate mapping, and offer one simple way to improve the classification using a priori knowledge about the geometric constraints of the segmented map.

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