This paper presents a new method to detect aircrafts in remote-sensing image

in which the edge and corner features are used.Firstly

the whole image is operated by canny edge detector and then the OTSU binarization is employed to segment it.By these preprocessing procedures

the main information in the image is enhanced.Then Harris corner detection is conducted on the image

finding the areas where the corner quantity meets the standard.Finally the false alarms are removed by a region-growing clustering method.Experiments on 60 remote-sensing images are performed

including 238 airplanes.Totally 220 airplanes are detected

18 airplanes are missed and 48 false alarms are reported.The experimental results demonstrate that the newly proposed approach can effectively solve aircraft detection problem in complex background

and have a good detection performance.