利用K—L变换提高地震记录的信噪比

介绍了K—L变换的基本数学原理 ,在此基础上着重阐述了K—L变换压制噪声 ,提高地震记录信噪比的理论依据 ,并给出了一些理论模型进行了试算研究和分析。结果表明 :K—L变换去噪的效果与地震记录上同相轴的空间相关程度及所选取的特征值的个数有关 ,对于同相轴空间相关程度较好的记录 ,只要将特征值个数选取在其曲线拐点处进行变换便可达到目的 ;反之 ,需选取的特征值个数不易准确确定 ,从而影响去噪效果。

Spectrum Feature Retrieval and Comparison of Remote Sensing Images Using Improved ISODATA Algorithm

Due to the large quantities of data and high relativity of the spectra of remote sensing images, K-L transformation is used to eliminate the relativity. An improved ISODATA(Interative Self-Organizing Data Analysis Technique A) algorithm is used to extract the spectrum features of the images. The computation is greatly reduced and the dynamic arguments are realized. The comparison of features between two images is carried out, and good results are achieved in simulation.