Runuo Lu
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View article: Training and inference Time Efficiency Assessment Framework for machine learning algorithms: A case study for hyperspectral image classification
Training and inference Time Efficiency Assessment Framework for machine learning algorithms: A case study for hyperspectral image classification Open
The increasing complexity and scale of remote sensing datasets, coupled with the challenges of accurately estimating algorithmic time efficiency, often lead to significant resource waste or even failure when using machine learning algorith…
View article: The effect of artificial intelligence evolving on hyperspectral imagery with different signal-to-noise ratio, spectral and spatial resolutions
The effect of artificial intelligence evolving on hyperspectral imagery with different signal-to-noise ratio, spectral and spatial resolutions Open
Hyperspectral images are increasingly being used in classification and identification. Data users prefer hyperspectral imagery with high spatial resolution, finer spectral resolution, and high signal-to-noise ratio (SNR). However, tradeoff…