Earticle

초록

영어

As a kind of very effective methods of gathering data processing - principal component method, it can be used to determine the variables between the linear combination rule, reduce the dimension of feature space, select the optimal variables instead of the original. In recent years, as in the field of image processing, a wide range of application of principal component inspection technology, its shortcomings are also needless to say, the main components of investigation can only in the presence of one dimensional vector. Plane principal component, but can be on the premise of reducing data transformation between time, directly with two-dimensional vector matrix, which results in better image processing speed operation. On this basis, in the light of the characteristics of the remote sensing images, principal component and on the plane algorithm combining wavelet transform, put forward a kind of based on wavelet transform and principal component of the denoising algorithm. Experimental results show that the proposed method is better than first when some typical denoising method, this method can effectively remove gaussian noise of remote sensing images, made in the image edge details such as information can be more perfect.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Based on Wavelet Transform Plane Principal Component Inspection Denoising Methods
 4. The Experimental Results and Analysis
 5. Conclusion
 References

키워드

저자

• Luo Xiaolin [ Zibo Vocational Institute, Zibo, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605