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With increasing amounts of spatial, spectral and temporal remote sensing data and heterogeneity of platforms, we have entered an era of big data in remote sensing research. Imagery now routinely exceeds the memory size of personal computers so splitting/distributing big remote sensing data becomes a necessary pre-processing step. Standard rectangle based splitting methods can distort existing geometric...
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