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Self-Organizing Maps for Clustering Hyperspectral Images On-Board a CubeSat

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Hyperspectral remote sensing reveals detailed information about the optical response of a scene. Self-Organizing Maps (SOMs) can partition a hyperspectral dataset into clusters. both to enable more analysis on-board the imaging platform and to reduce downlink time. Here. https://emporiumsmokeshopstles.shop/product-category/posters/
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