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The Integration of Hyperspectral and Radar Data to Enhance Urban Surface Features
Due to the complexity of urban surface materials, it is inefficient to discriminate urban land covers by a single sensor. In this project, the Intensity-Hue-Saturation (IHS) transformation is used to integrate the high spectral resolution, provided by the hyperspectral data (AVIRIS), and the surface texture information, derived from radar data (TOPSAR), into a single image. The spectral ambiguity of several ambiguity of several urban land covers is resolved in the merged image with higher spectral and spatial urban land covers is resolved in the merged image with higher spectral and spatial resolution. This image is also superimposed on the DEM data derived from TOPSAR data to create a 3-D perspective view. For the urban areas where are at risk of geological hazards (e.g., mudflows and debris flows), the 3-D perspective view of the fused image can be applied to simulate the movement of mudflows and predict the areas image can be applied to simulate the movement of mudflows and predict the areas and buildings at risk.
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