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This paper proposes a framework for hyperspectral images (HSIs) classification with composite kernels discriminant analysis (CKDA). The CKDA uses the spectral and spatial information extracted by Gaussian weighted local mean operator (GWLM) and is suitable to solve few labeled samples classification problem of HSI, which has very important practical significance for the case that training samples...
Interrupt latency has great impact on the real time and predictability of real-time operating system kernels. In traditional implementation of real-time kernels, interrupts are frequently disabled in system service routines, critical sections, etc., which causes kernel interrupt latency. In this paper we propose a method called PIL (predictive interrupt latency). PIL reduces interrupt latency by never...
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