In order to address dynamically changing contents and large computation in aerial image mosaic

propose a region-matching algorithm based on scale invariant feature transform（ SIFT） features of superpixels.Firstly

improve a simple linear iterative clustering（ SLIC） by affinity propagation（ AP）

and the method is used to accomplish adaptive superpixel segmentation; Next

a few superpixels are described with SIFT features to acquire coarse point matching under the guidance. Finally

supervision is obtained online to select more superpixels to be matched and random sample consensus（ RANSAC） method is constructed so that aerial image mosaic is accomplished precisely. Experimental results demonstrate that

compared with SIFT mosaic algorithm in high resolution

the method greatly reduces computation time and improves quality of aerial image mosaic.