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The high-dimensional feature vectors of hyper spectral data often impose a high computational cost as well as the risk of "over fitting" when classification is performed. Therefore it is necessary to ...
For the purposes of our study, an ASTER satellite image was used, acquired on 5 October, 2001, with 14 spectral bands resampled at the spatial resolution of 15 m. The study area concerns the geograph...
The development of lidar system, especially incorporated with high-resolution camera components, has shown great potential for urban classification. However, how to automatically select the best featu...
The availability of numerous spectral, spatial, and contextual features renders the selection of optimal features a time consuming and subjective process in object-based image analysis (OBIA). While ...

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