- principal component conversion
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主成分变换的英文
例句与用法
- Four experiments on the application of sar data to extract forest resource information were carried out : ( l ) use sar data only ; ( 2 ) pca transformation was carried out to tm data , then , the top three pcs were combined with sar magnitude image and sar texture image ; ( 3 ) all tm bands ( tm6 excluded ) and sar data were combined together , and then pc transform were adopted ; ( 4 ) sar data ( 2000 ) were merged with tm
3对sar图像，采用四种方法进行林业信息提取研究：一是单独利用sar图像进行提取，二是取tm图像主成分变换后的前三个分量、两个时相sar图像的灰度图像及纹理图像组合进行提取；三是将tm的6个波段与两个时相的sar图像主成分变换进行提取。 - After being enhanced in many ways , the spot panchromatic band were merged with tm 4 , 3 , 7 through five different data fusion algorithms , they were weighing fusion , principal components transform , k - t transform , ihs transform and brovey fusion . and then maximum - likehood classifier was used to have these fusion images classified automatically
在对spot图像进行图像增强后，采用加权融合、 his融合、 brovey融合、主成分变换融合和k - t变换融合等五种方法对tm图像和spot图像进行融合，低分辨率tm图像进行融合的三个波段为tm4 、 3 、 7波段。 - On the basis of geometric correction for remote sensing images data , detailed character analysis was conducted for the tm images . several image transformations which are linear scale transformation , ratio processing , principal components transformation , tasseled - cap transformation and minimum noise fraction rotation ( mnf transformation ) were then implemented
在对研究区数据进行几何精校正的基础上，对tm数据进行了详细的特征分析，并对其进行了有利于植被信息提取的几种图像变换：线性拉伸、比值增强、主成分变换、缨帽变换以及最低噪声分离变换( mnf变换) 。 - In addition , on the basis of rgb - ihs and principle component analysis , this paper carries out a multi - spectral image merge experiment of cbers - 01 with aster , tm and spot , then makes a comparison on cbers - 01 and tm from the information of brightness , texture and edge , and macro characteristics
基于rgb - ihs变换和主成分变换模式,将cbers - 01与aster 、 tm 、 spot等数据进行多光谱影像融合实验。另外,展开cbers - 01与tm在灰度信息、纹理信息、边缘信息及宏观特点等方面的对比研究。