unsupervised classification造句
例句与造句
- Besides , we study an unsupervised classification method based on polar decomposition
我们接着研究了基于极化分解的非监督分类方法。 - In this dissertation , we study an unsupervised classification method based on fuzzy set theory
我们首先研究了基于模糊集理论的非监督分类方法。 - This method is a combination of the usage of polarimetric information of polsar data and the unsupervised classification method based on fuzzy set theory
该方法是原始sar数据极化信息的利用和基于模糊集理论的非监督分类方法的结合。 - The experimental results show that these two classification methods of multi - sources information fusion can result in better accuracy than that of conventional unsupervised classification method
实验结果表明基于bdset和fdset融合的分类方法比传统的非监督分类方法具有更好的分类效果，有效地提高了分类的精度。 - In the end , multispectral image fusion algorithms based on principal component analysis and clustering algorithms are introduced . multispectral image fusion based on unsupervised classification is realized
最后，还介绍了基于主成分分析( pca )的多光谱图象融合方法以及非监督分类的方法，并实现了基于非监督分类的多光谱图象融合算法。 - It's difficult to find unsupervised classification in a sentence. 用unsupervised classification造句挺难的
- 2 ) to increase the difference , the non - linear transform function is used . the each pixel is computed by the average of a window ' s energy , which is gabor wavelets energy and the input feature vector of unsupervised classification
2 )对滤波后图像进行非线性处理，以加大不同类之间特征的差异，给出了计算图像gabor小波能量特征的计算方法，该能量特征作为无监督分类器的输入向量。 - Based on unsupervised classification , improve the original kononen neural network ( knn ) by modifying learning rate and kernel function . and developed two fusion rules based on the magnitude of providing recognition information of each information sources
1 )改进基本的kohonen神经网络( knn )学习率和核函数，并针对每个信息源对最终识别贡献的大小，提出加权与不加权两种融合规则。 - A series methods of data combination analyzing are selected to form the operating method system for crop discrimination . combining gis , gps , and other data from field work with rs data can determine interpretation features and set off working regions , combining rs data can enhance spatial features in order to do unsupervised classification efficiently , union of gis data enable us to join maps and extract features , to analyze crop structure , crop calendar , cultivating system
本项研究筛选出了构成运行化作物遥感识别技术体系的一系列数据复合分析方法，包括gps 、 gis数据以及其它田间作业信息与rs数据之间的复合，确立解译标志和划分作业区； rs数据之间的复合，进行图像增强，改善非监督分类效果； gis数据之间的复合，分析作业区作物结构、物候和耕作制度现状，地图拼接、特征提取等。 - In this paper , theories about wavelet analysis and image fusion are reviewed and remote - sensing image fusion is realized using wavelet analysis and unsupervised classification . first , wavelet transform theories are systematically reviewed and summarized from the point of view of signal and information processing
本文首先从小波理论在信号与信息处理学科领域中的应用角度对小波理论进行了系统的总结和介绍，分别利用mallat算法和trous算法实现了图象的正交小波变换和冗余小波变换。 - The result indicates that the precision of msavi method is 79 . 6 % , higher than that of supervised classification and unsupervised classification . such precision is able to meet the requirement of monitoring on grassland desertification at large scale based remote sensing data . all the study is based on tm images on 11th august 1987 and 9th august 2001 . the grassland desertification in the middle part of naiman of inner mongolia was taken as a detailed case study to discuss the discipline and driving forces of the dynamic of the grassland desertification during two periods
采用上述研究方法，利用1987年8月11日和2001年8月9日两时相的tm数据，对奈曼旗中部十个乡镇的草地沙化动态进行了分析，结果表明研究区草地严重沙化的总体趋势得到控制，并且开始逆转，生态环境建设已经产生了成效，但还存在着局部的恶化趋势，草地沙化发展与逆转并存，草地沙化防治的形势依然严峻。 - It is discovered that the correlation between msavi ( modified soil adjusted vegetation index ) and vegetation coverage is higher than that between ndvi ( normalized differential vegetation index ) and grassland coverage when the land cover is low . so msavi can be used as the main index of grassland desertification degree . in order to evaluate the precision of the result , different methods such as supervised classification , unsupervised classification and visual interpretation on image are tried respectively
本文将其作为草地沙化的分级指标，直接通过计算分级，建立msavi等级与草地沙化程度的对应关系，确定草地沙化的程度，然后将msavl分类结果分别与目视解译、监督、非监督分类的结果进行了精度比较，其精度高于监督与非监督分类，与典型区现场绘制和目视解译结果的误差为5 . 9 ，能满足草地沙化监测实际应用要求。 - The vegetation type was classified in the east transect by unsupervised classification using the data ( ikmx 1km ) from noaa meteorology satellite from 1995 - 1996 , and the article analyzed the change of ndvi of all kinds of vegetation types , in the same time analyzed the forest dynamics in typical ecotone ( warm temperate zone to semitropical in qinling woods ) using the higher spatial resolution tm data
本论文利用1995 - 1996年noaa气象卫星的ndvi ( 1km 1km )数据，采用无监督分类方法对中国东部样带南方部分进行植被类型的划分，分析各植被类型的ndvi变化情况；并利用较高精度的tm数据分析典型交错区域(暖温带到亚热带的秦岭林区)的森林动态变化情况。
