The use of wavelet fusion method to improve multi-spectral imagery for land cover change monitoring

IHS transform was one of typical method for remote sensing data fusion. In resent years, newly developed method taking the advantage of IHS and Wavelet algorithms makes image fusion. In this case after the Wavelet substitution based on pixels or features, and then transforms inversely. In this paper we introduces a high frequency substitution method to improve spatial resolutions. The procedure of the method introduced as flowchart, in which the dot line area is our newly added method. The result was used in making 1:50,000 scale NDVI imagery for monitoring land cover change in Minjiang River, Sichuan province, China and for providing information monitoring of Return Farmland Back to Forest or Grassland Project.