1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchKate Chisholmhttps://www.microsoft.com/en-us/research/people/kchisholm/HYBASE: HYperspectral BAnd SElectionrich600338<blockquote class="wp-embedded-content" data-secret="ozApojZNLi"><a href="https://www.microsoft.com/en-us/research/publication/hybase-hyperspectral-band-selection/">HYBASE: HYperspectral BAnd SElection</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/hybase-hyperspectral-band-selection/embed/#?secret=ozApojZNLi" width="600" height="338" title="“HYBASE: HYperspectral BAnd SElection” — Microsoft Research" data-secret="ozApojZNLi" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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Band selection is essential in the design of multispectral sensor systems. This paper describes the TNO hyperspectral band selection tool HYBASE. It calculates the optimum band positions given the number of bands and the width of the spectral bands. HYBASE is used to assess the minimum number of spectral bands that is required to get […]https://www.microsoft.com/en-us/research/wp-content/uploads/2017/11/MSR-AI_Brain-Hero-Illustration-Square-high-res-fb-1.jpg1200640