Aircraft Detection Based on Shadow Affect in Optical Remotely Sensed Imagery

Aircraft detection is the challenging task in optical remote sensing image processing system. Due to the shadow affection, the accuracy of detection results getting lower. Therefore, a method of the land aircraft detection which based on shadow affection in optical remote sensing image has been proposed. First, utilizing the anisotropic diffusion method to filter the noise in image, and analyzing the characteristics of gray-scale image to locate shadow regions and candidate target areas. Then, segmentation is performed on the filter able image to highlight the target. Next, we use the morphology operation to strengthen the target area connectedness. Finally, making full use of the aircraft features for target representation, it will reflecting the aircraft target prior-knowledge, at the same time, the accuracy of detection results will be greatly enhancement. Experimental results reveal the feasibility and validity of the proposed approach in detection aircrafts in optical remote sensing images.