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分辨率

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In actual application of remote sensing, remote sensing data have different resolution characteristic of space, spectrum and time.

在实际的遥感应用中,遥感数据具有不尽相同的空间分辨率、光谱分辨率和时相分辨率,通过图像融合技术可以提高遥感影像的空间分辨率、增强目标的特征、提高分类精度和动态监测及信息互补的能力,使得遥感影像融合技术成为遥感影像分析的一种重要工具。

After analyzing the basic information of the ecological engineering construction, the spatial and temporal scale, and monitoring index, the 1m IKONOS image and 2.5m SPOT5 image were introdueced as data sources, the methodology of RPC modeling and GCP optimitiaztion as modification to the interpretation, the AHP used in determining combination of multi-light specrum and the whole band wave, the virtue reality technique monitoring the classification and recognation, variable cluster allocation coeffiecents and its adaptation in spatial and imaged attributs in the research on water and siol conservation subtracting the least pathches of the area. The final stage is to subtract the information via human and computer interactive to interpret and monitor the classification in the study assisted with GPS, field identification and construction supervision.

在对研究样区水土保持生态建设情况和监测尺度及监测指标分析的基础上,选择1m分辨率的IKONOS影像和2.5m分辨率的SPOT5影像为监测遥感数据源;采用"RPC模型+GCP优化"方法进行高分辨率遥感影像正射纠正;用主成分分析法进行遥感影像全色波段与多光谱图像融合;用虚拟现实技术进行高分辨率遥感影像监督分类模板定义研究,用不同大不的聚类处理参数并在研究水土保持生态建设措施的空间特征和影像特征的基础上,确定提取水土保持生态建设信息的最小图斑参数值;最后用全数字人机交互解译和监督分类提取研究样区水土保持生态建设信息,并结合GPS现场验证和工程监理成果对监测结果进行分析评价。

The effect of spectra resolution on the detected characteristic absorption structure of gaseous pollutants and the variation of differential cross section of gaseous pollutants with the change of resolution are studied.

主要研究了光谱分辨率对污染气体被检测到的特征吸收结构形状的影响,以及差分吸收截面随分辨率的变化趋势,从而确定了光谱分辨率对污染气体最低可检测浓度的影响,通过研究分辨率与光强的关系,确定了分辨率与信噪比的函数关系式,得出了DOAS测量NO2,O3和SO2的最佳信噪比范围,对多种污染物标准气体进行了同时监测,计算出标准气体在不同光谱分辨率下的测量误差,确定了对NO2,O3和SO2监测的最适用的分辨率范围。

When we are designing a webpage, sure meeting considers the issue of resolution, science and technology develops what we use normally now is the resolution of 1024*768 and 800*600, now the width that is used to 778 to resemble element is more very on the network, often make whole webpage very depressive below the resolution of 800, have kind of airtight feeling, actually this width is the widest width that points to the webpage on the resolution in 800*600, do not represent optimal visual sense, might as well the elephantine element that tries 760~770, no matter be in 1024 still can achieve below the resolution of 800 relatively the visual effect of beautiful.

我们在设计网页的时候必定会考虑到分辨率的问题,科技发展到现在我们通常用的是1024*768和800*600的分辨率,现在网络上很多都是用到778个象素的宽度,在800的分辨率下面往往使整个网页很压抑,有种不透气的感觉,其实这个宽度是指在800*600的分辨率上网页的最宽宽度,不代表最佳视觉,不妨试试760~770的象素,不管在1024还是800的分辨率下都可以达到较佳的视觉效果。

The trick is implementing the higher resolutions with you preferred graphic settings, by limiting your memory to just barely include the options you want, and then you force the resolution.

这个方法使你用你喜欢的显示设置实现了更高的分辨率,把你的显存设置成你在游戏中显示设置所需的水平,然后再强制分辨率(这里有点绕指的是在游戏里面用最低分辨率,然后设置其他选项设置完之后用-availablevidmem把显存设置成系统需求大小,然后在commandline.txt设置分辨率

This paper puts forward an image super-resolution enhancement algorithm based on wavelet transform. This algorithm makes full use of the wavelet multi-resolution transform, and embodies the natural process of decrease of image resolution; it estimates the high resolution wavelet coefficient and gets the reconstructed high resolution image by interpolation inverse transformation.

文章在研究和分析小波变换理论的基础上提出了一种基于小波变换的图像超分辨率增强算法,该算法充分利用小波多分辨率分解思想,体现图像分辨率降低的自然过程;通过估计高分辨率小波系数,经插值逆变换可得到重构的高分辨率图像。

In this paper ,we utilize the imagery with greater 1 meter resolution which is so called very high resolution as experimental data and do the research of ribbon road and simple building roof , and we talk about the process and method of extraction from high-resolution remotely sensed imagery :the representation of road and building in high-resolution image is analyzed ;a method of semi-automatic extraction for ribbon road based on angular texture signature and profile matching is promoted ;a algorithm for road extraction based on Snakes model is compared and analyzed ;the method of object-oriented image analysis and classification is introduced and we utilize this method to extract simple building roof semi-automatically ;the algorithm of road extraction is implemented as prototype system ;finally , the practicability of above-mentioned method are evaluated .

本文以分辨率大于1米的超高分辨率遥感影像作为试验数据,以具有一定宽度的带状道路和简单建筑物屋顶作为研究对象,探讨分析了高分辨率遥感影像中地物要素的半自动提取过程和方法:分析了高分辨率遥感影像中道路和建筑物的特征表现;提出了一种基于角度纹理特征和剖面匹配的带状道路半自动提取方法;对比分析了基于Snakes模型的道路提取算法;介绍了面向对象的图像分析和分类方法,使用该方法对简单建筑物屋顶进行了半自动提取;以原型系统方式对道路提取算法进行了实现;最后结合试验,对上述各种方法在实用性方面进行了评估。

Run the game and let it die. When you run the game, go to the graphic options, turn your resolution to 800x600 or 1024x768 or whatever you want the reflection maps/resolution based quality to be at, I did 800x600 mainly because it looks simular to the rest and will give you the most performance.

运行游戏。运行游戏之后,进入显示设置选项,把分辨率设成800x600或者1024x768或者其他任何你想要的分辨率,阴影贴图是基于分辨率的(这里比较绕老外的意思是说,你想要的阴影和反射贴图质量越高,那么就把分辨率设高,但是这样分配给其他特效的显存就少了),我这里设置成了800x600主要是因为这个分辨率的阴影和反射贴图看起来和其他更高的分辨率区别不大,但是可以给你更好的游戏表现(意思是有更多的剩余显存来设置其他的选项)。

Three important conclusions are achieved: 1 By analyzing the demand for spatial resolution of recording medium in different digital holographic recording setups, it shows that lensless Fourier transform holography can relax the requirement of spatial resolution and use the full spatial bandwidth of the CCD sensor. 2 Because of the differences of spatial resolution of image planes in different directions, reconstructed images can be relatively extended in the direction of high spatial resolution and reduced in the direction of the low one. 3 Lateral resolution of the reconstructed images is mainly determined by the highest spatial frequency of digital holograms recorded by CCD, and increases with the larger CCD size, the higher spatial resolution of the CCD sensor, and the shorter recording distance.

通过分析几种不同数字全息记录光路对记录介质空间分辨率的要求表明,无透镜傅里叶变换全息光路对CCD的空间分辨率要求最低,最能充分利用CCD的带宽;再现像面的空间分辨率在不同方向上的不一致,会导致再现像在空间分辨率高的方向上相对展宽,而在空间分辨率低的方向上相对压缩;再现像的横向分辨率主要由CCD所能记录的物体的最高空间频率决定,它随CCD的尺寸和空间分辨率的提高及记录距离D的减小而提高。

Improving vertical resolution for density curves is by means of restructuring the response from large and small spacing sondes and borehole effect correction factor and coherence factor are used. Form the principle of GR logging, calculate volumes in investigating areas taken by borehole, formation, up and low shoulder beds, along with distance between center of gravity of the four unit bodies and detector. Based on the above, the weighting function of each unit body to GR signal contributions are established, thus realizing processing of GR logs with high resolution. The resistivity logging model uses "resolution matching" method to improve the resolution of the logs. After the process, PNN model is made to recognize the oil-gas-water bed. Compared with BPNN, the net work is featured swiftness, accuracy and ease of practical application.

提高密度测井曲线垂直分辨率是通过对重新组合长、短源距探测器响应的算法来提高补偿密度曲线的垂直分辨率,并加入井眼影响校正因子和相关性因子;自然伽马测井模型从基本原理出发,扣除井的影响,计算井筒、地层及其上下围岩所占探测球域体积及其重心到探测器的距离,以此建立各单元体对伽马测井信号贡献的权函数,通过权函数逐层计算不同厚度地层条件下各的单元体权因子,实现自然伽马曲线高分辨率处理;电阻率校正模型应用&分配率匹配&模型,应用低分辨率曲线提高为高分辨率曲线:曲线校正后,利用常规测井资料并且结合校正后的密度、伽马、电阻率等三个对判断油水层有利的指标,通过概率神经网络模型识别储层流体性质,较以前的模型,不仅极大的提高识别正确率,同时与普通神经网络相比较,提高了网络的运行速度和实用性。

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