مهندسی مخابرات جنوبFeature extraction has a valuable role in hyperspectral images processing. In recent years, various methods have been presented to extract efficient features of hyperspectral images.
Ehsan Dashtifard +3 more
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Anomaly detection of hyperspectral images based on improved isolation forest algorithm. [PDF]
Sci RepLi A.
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Reconstruction-Assisted Band Selection for Non-Destructive Prediction of Citrus Soluble Solids Content from VNIR Hyperspectral Images. [PDF]
FoodsZhao J +6 more
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When Lie Groups Meet Hyperspectral Images: Equivariant Manifold Network for Few-Shot HSI Classification. [PDF]
Sensors (Basel)Ban H +7 more
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Deep Architectures Fail to Generalize: A Lightweight Alternative for Agricultural Domain Transfer in Hyperspectral Images. [PDF]
Sensors (Basel)Pankajakshan P, Padmasanan A, Sundar S.
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Nondestructive Evaluation of Soluble Solid Content of Cucumbers Based on VIS-NIR and SWIR Hyperspectral Images. [PDF]
Food Sci NutrLiu F, Zhang N, Huang B, Chai X.
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Reconstructing Hyperspectral Images from RGB Images by Multi-Scale Spectral-Spatial Sequence Learning. [PDF]
Entropy (Basel)Chen W, Liu L, Gao R.
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SEM-EDS and hyperspectral images of vine leaves treated with antifungal products. [PDF]
Data BriefSánchez R +5 more
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The AMEE-PPI Method to Extract Typical Outcrop Endmembers from GF-5 Hyperspectral Images. [PDF]
Sensors (Basel)Hu L +6 more
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