无损

After calculating the CT numbers of the different log tomography images,this paper set the CT window width and window level during log testing.

使用计算机断层扫描技术进行原木无损检测，通过对原木树种断层 CT 值的统计，对 CT 设备在检测过程中的窗宽与窗位进行了设定，同时拟合出了木材 CT 值一密度值的线性方程，为原木缺陷的无损检测及木材密度的测定提供一种新方法。

This system has a better effect on lossless and little lossy compression.

在具体实现时，本文的方案获得了良好的无损或近无损压缩效果。

This dissertation mainly includes algorithms which present the two development directions of lossless image compression.

针对高效、实时的图像无损压缩的要求，研究快速的图像无损压缩技术和算法有很重要的理论意义和实用价值。

It is a nondestructive, non-contact and real-time technique, and has important status in nondestructive damage evaluation.

它具有无损的、非接触的及实时检测等优点，是国内外无损检测技术的重要分支。

Technique of non-destructive detection, characterized by non-destruction, rapidness, convenience and economy, is employed extensively.

无损检测技术以其无损、快速、简便和经济的特点，在隧道检测中被越来越广泛的应用。

The author constructed a linear schemes type Region-Project-Join-Normal-Form based on lossless join decomposition, and gave the form of RPJNF through the presentation of equivalence between semantic variable independence and syntax variable independence under finite precision domain. Some other new constraint data dependencies including partitioned multi-region existence dependency and single region existence dependency were also presented. A result of variables set under linear transformation was discussed.

文中给出并证明了多区域存在依赖满足的几条推理规则；提出并证明了线性序约束关系进行模式无损连接分解的充要条件是变量集满足变量独立和多区域存在依赖；设计了一种基于模式无损连接分解的区域投影连接范式；通过证明有限精度域上语义变量独立和语法变量独立的等价性，给出有限精度域上RPJ范式的表达形式。

Fourthly, it discusses the spectral image loss-less compression by applying thecorrelation and the entropy of the spectral image sequence. It gives and analyses three expressions of imaging spectrometer images, and tells the change in correlation coefficient and entropy for different expressions. At last, it puts forward D2PCM de-correlation method to reduce the spatial and spectral redundancy. This method improves the compression ratio and the compression efficiency, being easy and fast in operation.

根据成像光谱图像的空间、谱间相关性和信息熵的特征，提出成像光谱图像序列的三种表示方法，分析了不同表示方法的相关系数和图像信息熵的变化，并研究出了成像光谱图像的无损压缩方法，即利用D~2PCM方法对光谱图像序列进行去相关处理，同时降低图像的空间和谱间冗余，在提高了无损压缩的压缩比和压缩效率的同时，算法具有简单快速的优点。

Fourthly, it discusses the spectral image loss-less compression by applying thecorrelation and the entropy of the spectral image sequence. It gives and analyses three expressions of imaging spectrometer images, and tells the change in correlation coefficient and entropy for different expressions. At last, it puts forward D2PCM de-correlation method to reduce the spatial and spectral redundancy.

根据成像光谱图像的空间、谱间相关性和信息熵的特征，提出成像光谱图像序列的三种表示方法，分析了不同表示方法的相关系数和图像信息熵的变化，并研究出了成像光谱图像的无损压缩方法，即利用D~2PCM方法对光谱图像序列进行去相关处理，同时降低图像的空间和谱间冗余，在提高了无损压缩的压缩比和压缩效率的同时，算法具有简单快速的优点。

In this paper an analysis of the multispectral images space and spectral features is presented, and useful lossless compression techniques such as preprocessing, prediction and transformation are introduced, and also a comparative analysis of these techniques is discussed.

本文分析了多光谱图像的空间和谱间相关性等特点，从多光谱图像预处理、预测和变换无损压缩方法等方面介绍了目前主要的多光谱图像无损压缩方法，并对其特点进行了对比分析。

In this paper an analysis of the multi-spectral images space and spectral features is presented, and useful lossless compression techniques such as preprocessing, prediction and transformation are introduced, and also a comparative analysis of these techniques is discussed.

本文分析了多光谱图像的空间和语间相关性等特点，从多光谱图像预处理、预测和变换无损压缩方法等方面介绍了目前主要的多光谱图像无损压缩方法，并对其特点进行了对比分析。

Plunder melds and run with this jewel!

掠夺melds和运行与此宝石！

My dream is to be a crazy growing tree and extend at the edge between the city and the forest.

此刻，也许正是在通往天国的路上，我体验着这白色的晕旋。