Classification of Large Magellan cloud Using Wavelet Transform (lifting scheme)

This paper was introduce a new method of supervised classification can be achieved through our field work, study of Astronomical image the galaxy Large Magellan cloud. In remote sensing, classification methods are usually improved by adopting multi- spectralbands of satellite images. The problem is arising when only single band is available. In this research, the wavelet transform is adopted to generate multi-band images from the available single band. The New classification method as supervised , this classification technique depend upon statistical-features For astronomical image processing scientists, it is very well known that entropy features refer to the amount of information within an image. Our present research adopted the relative entropy of the transferred single band into multiband images to perform the classification. The transformation used in this research is the wavelet transforms (lifting scheme).