弹性阶段波形钢腹板简支曲线组合梁弯扭变形的解析解

为了研究波形钢腹板简支曲线组合梁在弯扭复合作用下的挠度及扭转角效应,根据波形钢腹板自身的结构特点,考虑曲梁曲率、箱梁剪力滞效应、剪切变形和扭转变形,利用最小势能原理和变分法推导了弯扭效应微分方程,并采用伽辽金法进行求解,得到了竖向均布荷载下波形钢腹板简支曲线组合梁的挠度、扭转角的解析解,将计算结果与有限元模型计算结果进行了对比,结果吻合良好。     

ICA based speckle filtering for target extraction in SAR images using adaptive space separation

A novel approach based on independent component analysis (ICA) for speckle filtering and target extraction of synthetic aperture radar (SAR) images is proposed using adaptive space separation with weighted information entropy (WIE) incorporated. First the basis and the independent components are respectively obtained by ICA technique, and WIE of the image is computed; then based on the threshold computed from function T-WIE (threshold versus weighted-information-entropy), independent components are adaptively separated and the bases are classified accordingly. Thus, the image space is separated into two subspaces: "clean" and "noise". Then, a proposed nonlinear operator ABO is applied on each component of the 'clean' subspace for further optimization. Finally, recovery image is obtained reconstructing this subspace and target is easily extracted with binarisation. Note that here T-WIE is an interpolated function based on several representative target SAR images using proposed space separation algorithm.     

基于图像的车道线内车辆目标识别

为了获取本车道内前方车辆信息,文章提出一种基于HOG特征与SVM模型的车辆识别方法。根据检测出的车道线确定搜索区域,结合车底阴影特征实施车辆的检测并确定车辆可能存在的假想区域,针对假想区域进行HOG特征提取,构建车辆正、负样本库,将假想区域进行HOG特征输入到训练好的SVM识别器,实现车辆目标的识别。通过大量测试图像进行验证,结果表明文章采用的方法可识别出本车道内前方车辆目标。