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Remotely sensed hyperspectral imagery plays an important role in land cover classification by supplying the user with additional spectral data as compared to high-resolution color imagery. The web application described in this paper enables users to test their classification algorithms without the risk of bias by withholding the majority of the true classification data and only providing a small section...
Most of the recent work in Thailand, on building extraction, is based on 3D building extraction by manual digitization from aerial photo which are both time and labor consuming. High-resolution satellite imagery is expected to be widely used on urban planning mapping, cartography, land use application and others.Automatic and/or semi automatic building extraction is one of the alternative to develop...
Tools for automatic image understanding for managing operator workloads are essential. One common task for image analysts is the scanning large collections of real-time images looking for particular objects of interest. This task is difficult to automate due to variable imaging geometries and environmental conditions. This variability of conditions can make automating image strong segmentation for...
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