To decrease the geometric distortion in the reference image, we took images captured by the array camera in another flight track as the reference. Moreover, a geometric correction step was used to achieve the goal. In our flight test, payloads were equipped on an airborne photoelectric stabilized platform. Given the position and orientation system (POS) parameter and the compensation parameters from the airborne photoelectric stabilized platform, a geometric correction step can be applied to the raw image data to decrease the geometric error brought by the UAV attitude. Images captured by the panchromatic array camera generally suffer less local warps caused by the vibration of the platform than those from line scanner cameras. The reason is that each line data may suffer different POS and photoelectric stabilized platform parameters during the exposure period. A further test image captured by the array camera on the same day but in another track of the flight is shown in Fig. 7(a) with size of . An enlarged region of (a) is shown in Fig. 7(b). Images of the same region of the multispectral data after geometric correction are shown in Figs. 7(c)–7(f) of blue, green, red, and near-infrared, respectively. From Figs. 7(c)–7(f), we can see that there are still some nonlinear local warps between bands, although they are much less than those in the data shown in Fig. 2. By setting the image from the array camera as the reference band, the same region of the registered images of blue, green, red, and near-infrared are shown in Figs. 7(g)–7(j), respectively. Moreover, to help the readers have a visual comparison, the true color image of the same region before and after the elastic registration procedure are shown in Figs. 7(k) and 7(l), respectively. We can see that the true color image of Fig. 7(l) contains less misalignment between registered bands and less geometric distortions. In this experiment, was selected as the box size for solving local warps.