Hyperspectral image super-resolution through clustering-based sparse representation

Promoting the spatial resolution of hyperspectral sensors is expected to improve computer vision tasks. However, due to the physical limitations of imaging sensors, the hyperspectral image is often of low spatial resolution. In this paper, we propose a new hyperspectral image super-resolution method from a low-resolution (LR) hyperspectral image and a high resolution (HR) multispectral image of the same scene. The reconstruction of HR hyperspectral image is formulated as a joint estimation of the hyperspectral dictionary and the sparse codes based on the spatial-spectral sparsity of the hyperspectral image. The hyperspectral dictionary is learned from the LR hyperspectral image. The sparse codes with respect to the learned dictionary are estimated from LR hyperspectral image and the corresponding HR multispectral image. To improve the accuracy, both spectral dictionary learning and sparse coefficients estimation exploit the spatial correlation of the HR hyperspectral image. Experiments show that the proposed method outperforms several state-of-art hyperspectral image super-resolution methods in objective quality metrics and visual performance.

     

基于卷积神经网络的标识牌识别技术

目前而言,我国标识识别技术正处于飞速发展阶段,具体体现在处理精度、再现性、灵活性、适用面、信息压缩等方面,但是,在实际发展过程中,该技术的发展还是受到了实际需求的限制.深度学习模型运算量大,难以在轻量级嵌入式设备上运行,工业生产中噪声种类繁多复杂,影响识别准确性.针对上述问题,本文提出一种基于卷积神经网络的标识识别技术,利用改进的Canny边缘检测算法,来增强对边缘信息提取时的鲁棒性,实现在高噪声环境下对标识牌精准提取.另外为了进一步提高识别准确率,本文利用CNN和椭圆拟合相结合的思路,把模型识别结果和椭圆拟合结果相结合来判别识别的准确性,在增加少量运算量的同时提高识别准确率.     

An improved model training method for residual convolutional neural networks in deep learning

Multimedia Tools and Applications - Residual convolutional neural network (R-CNN) has become a promising method for image recognition in deep learning applications. The application accuracy, as a...     

A synthetical development approach for rehabilitation assistive smart product–service systems: A case study

Digital transformation (DT), the combination of information, computing, communication and connectivity technologies, which has triggered an effective upgrade of different aspects of market strategy, customer experience etc. Nowadays, rehabilitation assistive devices (RADs) are evolving to be more digital, intelligent and personalized. Digitalization and servitization have fostered to an emerging business model—the smart product–service system (Smart PSS). Therefore, DT of the RADs’ industry advocates not only the design of products and functions, the more important is the management of service processes and resource integration. With the increase in the elderly and disabled population, the requirement for RADs is becoming more urgent. However, research on Smart PSS for RAD is still limited. The rehabilitation assistive smart product–service systems (RASPSS) was introduced into the development of RADs based on the “Design and Management of DT” strategy through the service design of assistive devices and user requirements analysis. Further, an integrated design of RAD and Smart PSS has been created, a development method of RASPSS proposed, the theoretical model of the Smart PSS based on RADs built. To specify the service framework, this case study discusses the development of a home rehabilitation assistive system for femoral stem fracture patients. This paper evaluates the usability of the system, the results of which prove usability and effectiveness of the RASPSS development method. The RASPSS development model is designed to meet needs of stakeholders, improve the user rehabilitation experience, promote the service innovation of Smart PSS, bring certain market benefits of rehabilitation aids and create social value.     

基于交通供需平衡的控规土地开发强度控制研究

研究针对当前控规交通规划断层及容积率确定技术理性不足的现实问题,提出在控规中以建立交通供需平衡量化关系来控制土地开发强度的创新理念,并从实施层面对该量化关系建立的可行性进行论证。通过OD反推技术与交通需求预测"四阶段"法分别对城市新开发片区与旧城更新片区交通供需平衡状态下的土地开发强度控制进行了研究,构建了具体实施的技术路线,实现了控规中交通规划技术与容积率指标确定的契合。     

生态敏感性评价研究进展

生态敏感性评价不仅为分析和预测区域生态系统失衡和环境问题提供依据,而且是生态环境影响分析和城市生态系统建设调控的重要内容和环节。文章总结了生态敏感性评价的内涵,从生态敏感性评价对象、评价方法和步骤、评价体系建立的方法、评价权重确定和评价模型选择的方法等方面,阐述了当前生态敏感性评价的研究进展,分析了生态敏感性研究存在的不足,并对生态敏感性的应用前景做出了展望。     

本土非物质文化遗产元素在雕塑设计中的应用

非物质文化遗产不仅能够打造具有特色的地域景观,而且能够创造宜人的城市文化氛围和良好的生存环境。非物质文化遗产元素在雕塑创作中的应用日益广泛。文章介绍了我国非物质文化遗产保护和传承的现状,阐述了非物质文化遗产与雕塑设计的关系,对本土非物质文化遗产元素在雕塑设计中的应用案例进行了分析研究,目的是使雕塑作品能够蕴含深厚的历史和文化底蕴和展示地域特色,为非物质文化遗产的保护和传承提供借鉴。     

高等学校财务管理信息化建设研究

高校财务信息化是财务管理的重要组成部分。利用现代信息技术对高校财务管理工作模式进行业务流程重组,支持了高校财务管理与决策,提高了高校资金使用的效益与效果。文章阐述了高校财务信息化的发展概况,分析了高校财务信息化建设中存在的问题,构建了高校财务信息化建设的平台,提出了完善高校财务信息化建设的对策。     

基于路面使用性能评价的车辙指标研究

文章基于现有沥青路面使用性能评价规范和标准,运用简化的车辙积水模型,围绕高速公路沥青路面车辙深度主观评价标准,针对现有车辙评价模型的不足,通过采用Sigmoid函数,主要探索了车辙深度指数RDI评价模型。结果表明:结合求解的车辙内不致积水的临界车辙深度,将路面车辙深度等级划分为更精细的"轻、中、重"三个等级更加合理;优化的沥青路面车辙深度指数RDI评价模型弥补了现有车辙评价指标的不合理性;在保留现有车辙深度指数评价模型的同时,通过分析路面车辙槽的几何特征增加了车辙的其他指标,初步构建了车辙综合评价模型,对全面评价车辙的危害性及进行路面车辙的养护管理更具有实际意义。