Pca In The Application Research Of Remote Sensing Image Processing

PCA is the method based on the relativity of variables, which express multivariable using several factors without losing information as far as possible. In the multispectral images or hyper-spectrum images, there is much redundant information because of relativity of the data in different band. Employing PCA most information of the RS images can be expressed with fewer bands, it not only reduces data size but also eliminates redundant information. PCA method is always used to data preprocessing in order to depress data and enhance image. Article on the PCA in remote sensing image processing examples demonstrate the practical application of applied research.