Using Synthetic Variable ratio Method to Fuse Multi-source Remotely Sensed Images Based on Sensor Spectral Response

Synthetic variable ratio (SVR) method was first introduced to fuse panchromatic (PAN) image and multi-spectral (MS) image by Muechika et al. in 1993, and was improved by Zhang Y. in 1999 and 2001 respectively. As for Muechika SVR method, it isn´t suitable for fusing PAN and MS which cover large area. And for Zhang Y. SVR(ZY-SVR) method, on the one hand it needs to select a great number of pixels of different land coverage classes to conduct multiple regression analysis and thus it seems greatly empirical; on the other hand the coefficients obtained through regression lack physical meanings. This paper puts forward a new method called LAB-SRV which introduces the sensor spectral response into SVR method using the CIELab color space. Several experiments done in this paper indicate that this method can sharpen multi-spectral MS images without changing their spectral characters very much and have an advantage over ZY-SVR method with PAN and MS of IKONOS and QuickBird.