ESTIMATING OPTIMAL NUMBER OF COMPRESSIVELY SENSED BANDS FOR HYPERSPECTRAL CLASSIFICATION VIA FEATURE SELECTION

Estimating Optimal Number of Compressively Sensed Bands for Hyperspectral Classification via Feature Selection

Compressive sensing (CS) has received considerable interest in hyperspectral sensing.Recent articles have also exploited the benefits of CS in hyperspectral image classification (HSIC) in the compressively sensed band domain (CSBD).However, on many occasions, the requirement of full bands is not necessary for HSIC to perform well.So, a great challe

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An Emergency Control Strategy for Isolated Power System of Three-Phase Inverter and Diesel-Engine Generator Operating in Parallel

In the isolated power system of renewable energy power generation inverter and diesel-engine generator operating in parallel, the generator usually runs in the voltage and rotate speed droop control mode, and the three-phase inverter runs in the constant power-control mode.In this case, a sudden load change will be completely undertaken by the gene

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Robust Schnorr-based subgroup multi-signature scheme

The consensus mechanism has been considered as the core technology of blockchain systems.However, current consensus mechanisms have encountered three issues: low consensus efficiency, low reliability and security, and Sports Bra high computational complexity.To address these issues, a new Schnorr-based subgroup multi-signature scheme was proposed.T

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