Auto-registration of medium and high spatial resolution satellite images by integrating improved SIFT and spatial consistency constraints

Feature-based methods have been developed in the past decades for the registration of optical satellite images. However, it is still a challenging problem to handle well the registration between medium and high spatial resolution images due to the large difference of the spatial structural features and local details for the same objects. In this study, an automated co-registration technique is proposed that integrates an improved SIFT (I-SIFT) and a novel matching strategy called spatial consistency constraints (SCC) to cope with the large difference in spatial resolutions between the image pair. Three constraints on angle, distance, and ratio are introduced to re the initial matching features obtained by I-SIFT. Three groups of experiments were conducted to validate the effectiveness of the proposed method. The experiments used high resolution multispectral and panoramic SPOT 5/6 images and Landsat 5/8 orthorectification images. Experimental results show that the registration error lies in about 1 pixel of high-resolution images and demonstrate that the proposed I-SIFT-SCC approach is suitable for fine registration of optical satellite images from medium spatial resolution to high spatial resolution with resolution ratio up to 6.     

Maximum likelihood-based adaptive differential evolution identification algorithm for multivariable systems in the state-space form

Parameter estimation plays an important role in the field of system control. This article is concerned with the parameter estimation methods for multivariable systems in the state-space form. For the sake of solving the identification complexity caused by a large number of parameters in multivariable systems, we decompose the original multivariable system into some subsystems containing fewer parameters and study identification algorithms to estimate the parameters of each subsystem. By taking the maximum likelihood criterion function as the fitness function of the differential evolution algorithm, we present a maximum likelihood-based differential evolution (ML-DE) algorithm for parameter estimation. To improve the parameter estimation accuracy, we introduce the adaptive mutation factor and the adaptive crossover factor into the ML-DE algorithm and propose a maximum likelihood-based adaptive differential evolution algorithm. The simulation study indicates the efficiency of the proposed algorithms.     

裸眼井中扩张式封隔器力学行为研究

封隔器在石油天然气开采中起着非常重要的作用,而扩张式封隔器在裸眼井中广泛应用。本文采用有限元软件建立了裸眼封隔器与地层的模型,对胶筒在坐封过程中与井壁接触应力的变化进行了研究,并研究了在不同摩擦系数下接触压力的变化,结果表明,建立粗糙井壁面能够更加符合实际情况,胶筒肩部为应力集中的区域,地层与胶筒的接触应力会随着摩擦系数的增加而减小。研究结果为裸眼扩张式封隔器的设计和改进提供了理论依据。     

用于厚屏蔽小探测器的蒙特卡罗模拟减方差方法研究

反应堆屏蔽计算中经常出现厚屏蔽、小探测器问题，常规蒙特卡罗方法难以有效解决。基于自动重要抽样（AIS）方法，本文提出了小探测器自动重要抽样(SDAIS)方法，并针对小探测器问题，优化了AIS方法的虚粒子赌分裂算法。该方法在自主开发的蒙特卡罗屏蔽程序MCShield上进行了实现。使用NUREG/CR-6115 PWR基准题验证该方法的正确性和计算效率。结果表明，SDAIS方法可有效地解决厚屏蔽小探测器问题，相比AIS方法及传统的重要性方法，计算效率提升1~2个量级。     

绿色建筑的意识形态批判

<正>如今建筑界绿色建筑、低碳城市的概念备受推崇。国家大力发展绿色经济、绿色建筑,建设低碳城市,建筑师们则一窝蜂地学习讨论与此概念相关的问题,就连以前对绿色建筑不感冒的众多开发商也开始申报LEED认证和国家绿色建筑认证。针对"绿色建筑热"一直也有批评的声音,但无论是批评者还是拥护者都认为绿色建筑虽有不足之处,可其观念是正确的,出发点是好的,绿色建筑是大势所趋。我的观点相反,绿色建筑某些细枝末节或许可取,但总体上特别在意识形态上是非常值得怀疑的。我们要把自发地追求节约,利用建筑手段改善通风、采光、保温条件,尊重环境的建筑与特定的绿色     

镀锡板钝化污染控制技术

介绍了电镀锡机组钝化污染缺陷的宏观形貌;从挤干设备、助熔工艺、钝化工艺、钝化设备等方面分析了钝化污染产生的原因。通过产线实践,发现助熔挤干辊位置,钝化段槽液中重铬酸钠浓度和p H值与钝化污染缺陷的产生无关,钝化极板的清洁程度、钝化液的老化程度以及助熔液的清洁程度才是导致钝化污染的主要原因。通过调整助熔槽液浓度,保证钝化极板清洁性,钝化污染缺陷得到有效控制。