A Mosaic Approach for Remote Sensing Images Based on Wavelet Transform

A mosaic method was put forward based on image wavelet transform and low-frequency area feature matching, which realized fast dynamic stitching of unmanned aerial vehicle´s (UAV) sequence remote sensing images. This method made use of wavelet transform to obtain low-frequency image, searched and picked up character template image in this area, calculated and compared by using sequential similarity detection algorithm (SSDA), then obtained precise corresponding position relationship among the images. Based on the result of the image matching, the two images are stitched. Simulation experimental results show that the algorithm presented in the paper greatly improves the operation speed, while the precision remains fine, so it can be applied in real-time mosaicking of serial images from UAV very well.