In remote sensing applications

accurate registration is importment for data fusion and detection of object changes. When registering images with substantially different characteristics

the traditional method of tie points give inaccurate results. In this study

a registration method using a multi window cross correlation technique is developed. A moving window with different scales in the target image is cross correlation with a chosen fixed window in the reference image

and the best match is obtained to provide a satisfactory registration by comparing loop algorithm. Using cross correlation technique for separated windows from reference image

all the match location and the ratio between two images can be determined. Three registration tests employed this method were done between TM images at different time

SAR at different time

AVIRIS and aerial photo. Experimental results on sparately acquired TM images

SAR

AVIRIS images and aerial photos show that the described method can produce subpixel accuracy for registraction between complex images

and it is more convenience than the tie points methods.