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- W2391690993 abstract "Hyperspectral imaging captures a high number of spectrally narrow bands and provides advantages for image analysis applications such as identification and classification in particular. However, for the visual inspection of hyperspectral images, the data is conventionally converted to a standard color image format. It is important that as much detail and data as possible is retained during this conversion. A novel hyperspectral visualization approach based on high dynamic range imaging is presented in this paper. The proposed approach retains visual detail and provides a superior result in terms of visual quality." @default.
- W2391690993 created "2016-06-24" @default.
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- W2391690993 date "2014-01-01" @default.
- W2391690993 modified "2023-09-27" @default.
- W2391690993 title "+¯3(563(.75$/*g5h17h/(5¯1<h.6(.'¯1$0¯.$5$/,. /, GÖRÜNTÜ/(0(7(0(//¯ *g56(//(˘7¯5¯/0(6¯ HYPERSPECTRAL IMAGE VISUALIZATION BASED ON HIGH DYNAMIC RANGE IMAGING" @default.
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- W2391690993 hasPublicationYear "2014" @default.
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