Due to the variation of imaging conditions onboard

the chromaticity among a collection of remote sensing images that are to create image mosaics often differs. In this regard

a method for keeping color consistency based on support vector regression (SVR) is presented. First

the pixels

with invariant features

are automatically selected in the overlapping areas

which are based on the image threshold segmentation and on spectral angle matching (SAM). These pixels are used to build transformation equations on digital numbers between the original image and the reference image using SVR. Finally

the brightness of the images to be stitched is corrected to the same reference image using the corresponding transformation equations. The approach mentioned was implemented on the thematic mapper (TM) imagery

SPOT satellite imagery and unmanned aerial vehicle (UAV) images. Our results show that this method can effectively alleviate the chromaticity differences. Compared with the linear regression method

the above method achieves larger variance and higher radiation resolution.