Retrieval of atmospheric compensation for hyperspectral imagery using data mining techniques
One of the biggest interferences of hyperspectral remote sensing is the atmosphere, which can degrade the multi- and hyperspectral imageries. The quick atmospheric correction (QUAC) utilizes an in-scene approach, and is significantly faster than physics-based methods, but more approximate. In this r...
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| Online Access: | http://hdl.handle.net/2047/D20317901 |