Analysis of periodic perturbations in the multiple system ADS 15571

The visual binary star ADS 15571 has been observed with the 26″ refractor at Pulkovo since 1960. Periodic perturbations in the relative motion of the components are studied in this paper. The visible motion of the component B was resolved into orbital motion of the barycenter relative to component A and an elliptical motion of the photocenter relative to the barycenter. The visible ellipse of the photocenter motion is used to determine the elements of the orbit by the direct geometric method of A. A. Kiselev and estimate the perturbing mass. The minimum mass of the invisible companion is 0.62 M_⊙. __________ Translated from Astrofizika, Vol. 49, No. 3, pp. 467–474 (August 2006).     

Speckle observations with PISCO in Merate – VII. Astrometric measurements of visual binaries in 2007

We present relative astrometric measurements of visual binaries made during the first semester of 2007, with the Pupil Interferometry Speckle camera and COronagraph (PISCO) at the 102-cm Zeiss telescope of Brera Astronomical Observatory, in Merate. Our sample contains orbital couples as well as binaries whose motion is still uncertain. We obtained 226 new measurements of 214 objects, with angular separations in the range 0.15–4.5 arcsec, and an average accuracy of 0.013 arcsec. The mean error on the position angles is     . Most of the position angles could be determined without the usual 180° ambiguity with the application of triple-correlation techniques and/or by inspection of the long integration files. We also present the new orbits we have computed for ADS 7871, 7982 and 8128, for which our measurements lead to large residuals and/or for which the revision is justified by the significant number of observations made since the publication of the previous orbit.     

Patterns of juvenile reef-fish recruitment in Kenya’s shallow fringing- lagoon reefs

Studies to understand local-scale patterns in the recruitment of juvenile coral-reef fishes within the western Indian Ocean (WIO) region are few, yet such knowledge is important in fisheries management. Underwater visual census surveys were conducted at five shallow fringing-lagoon reef sites along the Kenyan coast, between June 2012 and March 2016, to quantify patterns in the abundance of new recruits and juveniles. Recruitment was observed year-round, with a consistent pronounced seasonal peak in recruit densities and species richness during December to April of each year, which was strongly correlated with high sea temperatures. Annual variations in recruitment were also observed, with a higher recruitment peak in 2013 as compared with in other years. A total of 112 species belonging to 19 families were identified, dominated by species belonging to the Pomacentridae, Labridae and Apogonidae, which altogether represented 91% of the total number of recruits recorded. The species with the largest number of recruits (Chromis viridis, Thalassoma hebraicum and Gomphosus caeruleus) showed evidence of year-round recruitment, although the timing of recruitment peaks was not consistent. Multivariate analysis of the species composition separated mainland from offshore fringing-reef sites, and also revealed strong habitat associations, pointing towards increasing recruit abundance with increasing live hard-coral cover and rugosity. Live hard-coral cover, which constituted an average of 21%, was associated with 63% of the total number of recruits recorded. This study contributes new insight into local-scale patterns of juvenile reef-fish recruitment in Kenya and the WIO region, and demonstrates the important nursery function of shallow fringing-lagoon reefs.     

Estimating periphyton standing crop in streams: a comparison of chlorophyll a sampling and visual assessments

Periphyton standing crop is often measured as chlorophyll a but there is increasing interest in using visual assessments of periphyton cover. Visual methods are rapid and require no sample analysis, but can be regarded as subjective with high inter-operator variability. We investigated variability in periphyton standing crop across operators, rivers and time, as determined visually and from chlorophyll a measurements. We found that visual assessments (comprising percentage cover estimates of up to eight periphyton categories) distinguished sites and occasions as effectively as chlorophyll a. Furthermore, an estimate of chlorophyll a could be derived from the visual assessments. Because our surveys were conducted in only three rivers, general applicability of the derivation of estimated chlorophyll a from the visual assessments warrants further investigation. The current recommendation of 20 views was sufficient for realistic visual assessments of average cover. Overall, our results indicated that inter-operator variability in visual assessments need not be a major concern, given adequate training.     

基于视觉词袋方法的不同分辨率的遥感影像检索

缩小语义鸿沟,是基于内容的遥感影像检索的必经之路,本文提出了一种基于多种底层特征的视觉词袋方法来进行不同分辨率的遥感影像的分类和检索。主要涉视觉词袋模型的构建以及该模型采用不同的底层特征描述对实验结果的影响。通过对不同分辨率的遥感影像进行基于不同底层特征组合的视觉词袋特征的提取,从而得到一系列分类检索实验结果。结果表明,基于底层特征组合的视觉词袋方法能有效地提高不同分辨率遥感影像的分类和检索效果。     

基于3ds MAX的三维数字城市可视化模型构建方法

随着地理空间信息技术发展与应用的不断进步,数字城市建设已从二维向三维发展,数字城市可视化模型的构建是数字城市的重要工作。本文分析三维数字城市的数据需求,结合3ds Max软件实现三维地形模型、三维建筑模型、三维小品模型技术,构建三维数字城市可视化综合模型。     

三种碎屑颗粒形态定量分析方法的比较及应用

沉积物颗粒的形态是沉积成因分析的主要标志之一。目估对比法是沉积物颗粒圆度分析中常用的方法。目估法直观、简捷,但主观因素影响较大。本文利用计算机图像分析软件Image Pro Plus 6.0获取鲍尔斯目估标准颗粒的轮廓,并用3种定量方法测量这些标准颗粒的IPP圆度、轮廓分维数和傅里叶不圆度,然后对比这些圆度的划分标准与目估标准之间的差别,最后用3种圆度测定方法同时测量广东马头山风化坑和河流壶穴中碎屑颗粒的圆度,通过测量结果的对比来评价这3种定量方法的应用效果,检验这些方法能否在实际应用中代替目估方法以区分不同成因的碎屑颗粒。分析表明：目估法的磨圆度标准不是简单地表达颗粒的圆形与否,其中包括了颗粒表面结构的差异;3种定量方法的圆度划分标准很难与目估划分标准完全一致;3种方法所表征的圆度均能区分风化作用和流水侵蚀作用形成的颗粒,因此3种定量方法均可以代替目估方法测量颗粒的圆度;在不强调颗粒表面特征的前提下,IPP圆度的测量方法比其他两种方法更加有效;颗粒形态的分析结果证明河谷壶穴中的颗粒由流水侵蚀作用而成,山顶风化坑中的颗粒由风化作用而成     

一种视觉变量相似性驱动的点数据符号化过程模型

首先分析了点数据符号化过程中的视觉变量相似性和绘制流程可重用性.在此基础上提出一种视觉变量相似性驱动的符号化过程模型.该模型将顺序型的地图符号化流程改变为符号化子过程可交叉共享的符号化流程.针对I/O密集的符号图形构造过程,提出图形缓存;针对计算密集的符号图形离散过程,提出扫描线缓存;针对像素操作密集的符号栅格化过程,提出栅格缓存.试验结果表明本文方法能够在保证绘制质量的前提下显著提高点数据的符号化效率.     

From physical space to visual image space

The theoretical framework of visual simulation in virtual reality is discussed. The new concept of visual image space is supposed. On the basis of visual image space, in visual perceptive sense, VR is considered as a spatial simulation. The objective of the spatial simulation is to transform physical space to visual image space. Last, the prototype system, surveying & mapping virtual Reality (SMVR), is developed, and the space simulation above is realized. By use of SMVR, the real 3D representation, 3D visual analysis, virtual plan and designs can be implemented.     

Combined object-based classification and manual interpretation–synergies for a quantitative assessment of parcels and biotopes

Recent technical advances in remote sensing data capture and spatial resolution lead to a widening gap between increasing data availability on the one hand and insufficient methodology for semi-automated image data processing and interpretation on the other hand. At the interface of GIS and remote sensing, object-based image analysis methodologies are one possible approach to close this gap. With this, methods from either side are integrated to use both the capabilities of information extraction from image data and the power to perform spatial analysis on derived polygon data. However, dealing with image objects from various sources and in different scales implies combining data with inconsistent boundaries. A landscape interpretation support tool (LIST) is introduced which seeks to investigate and quantify spatial relationships among image objects stemming from different sources by using the concept of spatial coincidence. Moreover, considering different categories of object fate, LIST enables a change categorization for each polygon of a time series of classifications. The application of LIST is illustrated by two case-studies, using Landsat TM and ETM as well as CIR aerial photographs: the first showing how the tool is used to perform object quantification and change analysis; the latter demonstrating how superior aggregation capabilities of the human brain can be combined with the fine spatial segmentation and classification. Possible fields of application are identified and limitations of the approach are discussed.