LEAF AREA INDEX ESTIMATION ALGORITHM FOR GF-5 HYPERSPECTRAL DATA BASED ON DIFFERENT FEATURE SELECTION AND MACHINE LEARNING METHODS

Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data Based on Different Feature Selection and Machine Learning Methods

Leaf area index (LAI) is an essential vegetation parameter that represents the light energy utilization and vegetation canopy structure.As the only in-operation hyperspectral satellite launched by China, GF-5 is potentially useful for accurate LAI estimation.However, there is no research focus on evaluating GF-5 data for LAI estimation.Hyperspectra

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Retroverted Uncinate Process: An Anatomic Variation

Considerable attention has been directed toward analysis of paranasal sinus anatomy through coronal plane computerized tomographic (CT) imaging in this age of functional endoscopic sinus surgery.Recently, it has become apparent that anatomic variations are also evident on CT analysis of patients.Subtle anatomic features can now be FOREVER BLONDE CO

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Learning-induced changes in attentional allocation during categorization: a sizable catalog of attention change as measured by eye movements.

Stock Pads Learning how to allocate attention properly is essential for success at many categorization tasks.Advances in our understanding of learned attention are stymied by a chicken-and-egg problem: there are no theoretical accounts of learned attention that predict patterns of eye movements, making data collection difficult to justify, and ther

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Low-Frequency Magnetic Scanning Device and Algorithm for Determining the Magnetic and Non-Magnetic Fractions of Moving Metallurgical Raw Materials

The development of an algorithm to automate the process of measuring the magnetic properties of macroscopic objects Stock Pads in motion is an important problem in various industries, especially in ferrous metallurgy and at factories where ferrous scrap is a strategic raw material.The parameter that requires work control is the hidden mass fraction

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