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pixel decomposition
相关语句
  像元分解
     The Theroeies and Methods of Mixed Pixel Decomposition
     混合像元分解的理论与方法——以神木县为例
短句来源
     In order to improve the precision, four approaches are put forward in this paper, including matching pixel decomposition, dimidiate pixel decomposition, two neighbouring pixels decomposition, relative pixel decomposition.
     为了提高识别分类精度,本文提出了四种混合像元分解方法,它们是匹配像元分解、折半像元分解、双邻像元分解、相关像元分解
短句来源
     The precision isonly 63.65 percent before the decomposition, while the precision reaches 88.87 percent after that. From this point, the effect of the mixed pixel decomposition is remarkable.
     混合像元分解前,计算机分类识别精度仅为63.65%,混合像元分解后,其识别分类精度达88.67%,可见混合像元分解的效果是很显著的。
短句来源
     In this paper, we have introduced the development and several methods in this field that have succeeded at home and abroad, e.g. band ratio, principal components analysis, spectral angle mapping, correspondence analysis, Gram-Schmidt projection, mixed pixel decomposition and MPH method.
     本文介绍了国内外利用遥感数据提取矿化蚀变信息的研究历史、现状及几种常用的方法,如比值变换,主成分分析,光谱角填图,对应分析法,Gram-schmidt投影方法,混合像元分解法和MPH技术,详细介绍了这些方法的核心技术及成功实例。
短句来源
     In this paper,the information of construction land-use is extracted by the decision tree and mixed pixel decomposition model.
     采用决策树和混合像元分解模型进行建设用地信息提取。
短句来源
  混合象元分解
     PIXEL DECOMPOSITION BASED ON PRINCIPAL COMPONENT ANALYSIS
     基于主成分分析的混合象元分解
短句来源
     In this paper,the method of mixed pixel decomposition based onPrincipal Component Analysis(PCA)is mainly introduced.
     本文主要介绍基于主成分分析的混合象元分解
短句来源
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  pixel decomposition
The two-pixel decomposition technique and the cellular decomposition technique are the two main techniques for morphological structuring-element decomposition.
      
One solution to this problem is to use algebraic reconstruction methods, such as generalized analytic reconstruction from discrete samples and natural pixel decomposition.
      
Sub-pixel decomposition is a relatively new addition to MPK and we are investigating ways to make it more accessible to end users.
      


In this paper,the method of mixed pixel decomposition based onPrincipal Component Analysis(PCA)is mainly introduced.Usually PCA isapplied to enhance image and reduce the dimensions of data space,withoutchanging the space construction of data.With the method of target test in thispaper,it can be realized to decompose mixed pixels.Because of the fixedresolution of Land-sat data,a large amount of mixed pixels exists in remotesensing image.Is one of the major reasons of the same spectrum for differentsurface...

In this paper,the method of mixed pixel decomposition based onPrincipal Component Analysis(PCA)is mainly introduced.Usually PCA isapplied to enhance image and reduce the dimensions of data space,withoutchanging the space construction of data.With the method of target test in thispaper,it can be realized to decompose mixed pixels.Because of the fixedresolution of Land-sat data,a large amount of mixed pixels exists in remotesensing image.Is one of the major reasons of the same spectrum for differentsurface features and different spectrums for the same surface feature.If it ispossible to decompose mixed pixels,this will be very helpful for extensivelyutilizing the remote sensing data.

本文主要介绍基于主成分分析的混合象元分解。通常,主成分分析用于图象增强和数据空间维数的压缩,不改变数据的空间结构。文中引入了目标检验方法,利用它可达到对混合象元的分解。由于卫片的分辨率有限,混合象元大量存在于遥感图象中,而混合象元的存在是导致异物同谱和同物异谱的一个重要原因。若能实现混合象元的分解,就可为深入应用遥感资料提供有力帮助。

Recognition and classification is an important link for the applications of remote sensing techmologies, and the existence of mixed pixels is one of the main factors affecting the preci sion of recognition and classification. In order to improve the precision, four approaches are put forward in this paper, including matching pixel decomposition, dimidiate pixel decomposition, two neighbouring pixels decomposition, relative pixel decomposition. The precision isonly 63.65 percent before...

Recognition and classification is an important link for the applications of remote sensing techmologies, and the existence of mixed pixels is one of the main factors affecting the preci sion of recognition and classification. In order to improve the precision, four approaches are put forward in this paper, including matching pixel decomposition, dimidiate pixel decomposition, two neighbouring pixels decomposition, relative pixel decomposition. The precision isonly 63.65 percent before the decomposition, while the precision reaches 88.87 percent after that. From this point, the effect of the mixed pixel decomposition is remarkable.

识别分类是遥感技术应用中的重要一环,而混合像元是影响识别分类精度的主要因素之一。为了提高识别分类精度,本文提出了四种混合像元分解方法,它们是匹配像元分解、折半像元分解、双邻像元分解、相关像元分解。混合像元分解前,计算机分类识别精度仅为63.65%,混合像元分解后,其识别分类精度达88.67%,可见混合像元分解的效果是很显著的。

Accuracy analysis is a nesessary work in the classification of remotely sensed data.Through accuracy analysis, producer can assess the efficiency of classification patterns,and modify them to increase classification accuracy; user can obtain information from theclassification result correctly and efficiently.The accuracy of classification result has three types: site accuracy,class accuracy andamount accuracy. this paper discusses mainly assessment of the latter two types, and com-pares their accuracy values....

Accuracy analysis is a nesessary work in the classification of remotely sensed data.Through accuracy analysis, producer can assess the efficiency of classification patterns,and modify them to increase classification accuracy; user can obtain information from theclassification result correctly and efficiently.The accuracy of classification result has three types: site accuracy,class accuracy andamount accuracy. this paper discusses mainly assessment of the latter two types, and com-pares their accuracy values. It has been found that the overall class error is always greaterthan half of overall amount error, and for a certain category,both of class and amount ac-curacy have two accuracy(or error) values, there is at least one value of class error whichis greater than correspondent value of amount error.Pixel decomposition is a new method of classification formed in recent years. The re-sult of this method is not one-pixel-one-class, but is membership of component coverclasses in one pixel, the accuracy analysis of this classificationis different from that of oth-er ones. this paper explores the method for assessing the accuracy of this. Classification,and accuracies of a rice classification are analysised by this method.

遥感数据分类结果的精度包括位置精度、类型精度及数量精度三种形式。着重讨论了后两种精度的分析过程,并比较了这两种精度分析得出的数值之间的关系。同时还对基于像元分解的分类结果精度分析方法进行了探索,并在上海市水稻种植面积提取结果的精度分析中进行了应用。

 
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