Use of wavelet high-frequency substitution fusion to increase remote sensing image spatial resolution

A high frequency substitution method to improve spatial resolutions of imagery and replaces IHS transform with wavelet high frequency substitute for improved NDVI imagery.

Abstract

IHS transform was one of typical method for remote sensing data fusion. In recent years, newly developed method that combines advantages of IHS and Wavelet algorithms makes image fusion. In this case after the Wavelet substitution based on pixels or features, and then transforms inversely with IHS in Munsell color space. In this paper we introduce a high frequency substitution method to improve spatial resolutions of imagery. The procedure of the method introduced as flowchart, in which the dot line area is our newly added method. The resolution was greatly improved comparing original image. In cooperating with the demand of on going Minjiang river, Si Chuan, China. A 15m resolution PAN band and 30m resolution 7 bands of ETM data were selected for the method testing, the steps of method test showing in flow chart of this paper. In the future the dots area was our newly developed wavelet high frequency substitute. Improved NDVI imagery raised the quality for monitoring land cover change factor in the project of Return Farmland Back to Forest or Grassland.