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- W207945296 abstract "Summary: The effectiveness of remote sensing applications including precision agriculture or vision applications such as inspection can be greatly enhanced by combining spectral with the conventional spatial analysis techniques. With spectral data of sufficient resolution it is possible to better distinguish, differentiate, classify, or recognize more subtle features in the imagery and also detect spatially unresolved features. To acquire and properly exploit spectral imagery various new instruments and sensors are needed, and novel image processing algorithms are required. This paper reviews some latest developments in this area of nonliteral image" @default.
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- W207945296 date "1998-01-01" @default.
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- W207945296 title "REAL-TIME MULTI- AND HYPER-SPECTRAL IMAGING FOR REMOTE SENSING AND MACHINE VISION: AN OVERVIEW" @default.
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