Multisensor long distance target detection using support vector machine

Multisensor image fusion could improve system performances such as detection,tracking,and identification greatly.In this paper,a long distance target detection approach is presented based on multisensor image features fusion.This method extracts two different features from visual and infrared(IR)image sequences respectively to detect regions of motion information content.Temporal change feature is extracted from the visual image sequence using temporal decomposition based on wavelet,which reflects the dynamical content variation at a pixel at any time.And correlation features between local regions are extracted from IR image sequence to distinguish regions with potential moving targets.All these features are merged into a multi-dimensional space and the support vector machine is trained to select regions that have the potential target at each pixel location.The method is robust and feasible to detect long distance targets in clutter background scene.     

量子点白光LED中内嵌式导热支架的应用

量子点白光LED中的量子点在工作温度过高时会发生热淬灭。为了降低量子点白光LED的工作温度，本文提出了一种新型的LED封装方式，即在量子点所在的发光层中加入内嵌式导热支架，从而增强发光层的散热能力。针对本文设计的内嵌导热支架的量子点白光LED(量子点薄膜支架白光LED)，分别应用热学数值模拟和光学数值模拟进行了热学性能和光学性能的评估。热学模拟结果表明量子点薄膜支架白光LED的最大工作温度比传统的量子点白光LED的最大工作温度约降低50℃；光学模拟表明该新型封装结构对LED的空间光度分布的影响较小。本文将内嵌式导热支架应用于量子点白光LED中，极大地降低了LED的最大工作温度，并基本保持了其优良的空间光度分布。