Aimed at high-resolution optical sense images, this paper proposes a knowledge driven change detection method for the aircraft targets. First, a spatial mask image of the airport is set up according to the geographical position information and the candidate area of aircraft targets is obtained. Second, the control points' information in the target area is utilized to register input images. As changes of aircraft targets can lead to significant texture changes in area, the authors detected the changes by extracting texture features. A weak texture elimination and edge suppression method was put forward to reduce the false-alarm rate. Finally, the mathematical morphological operation method was employed to eliminate some isolation points and acquire the detection results. Experiments show that the proposed method can efficiently reduce the false-alarm caused by registration error and skirt response, with the detection rate of aircraft targets reaching 92.47%.
 Singh A.Review article digital change detection techniques using remotely-sensed data[J].International Journal of Remote Sensing,1989,10(6):989-1003.
 Wang B,Choi S,Byun Y,et al.Object-based change detection of very high resolution satellite imagery using the cross-sharpening of multitemporal data[J].IEEE Geoscience and Remote Sensing Letters,2015,12(5):1151-1155.
 Hussain M,Chen D M,Cheng A,et al.Review article change detection from remotely sensed images:From pixel-based to object-based approaches[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013,80:91-106.
 张永梅,李立鹏,姜明,等.综合像素级和特征级的建筑物变化检测方法[J].计算机科学,2013,40(1):286-293. Zhang Y M,Li L P,Jiang M,et al.Change detection method for buildings based on pixel-level and feature-level[J].Computer Science,2013,40(1):286-293.
 祝锦霞.高分辨率遥感影像变化检测的关键技术研究[D].杭州:浙江大学,2011. Zhu J X.The Key Technology of Change Detection Using High Resolution Remotely Sensed Imagery[D].Hangzhou:Zhejiang University,2011.
 邓小炼,王长耀.一种基于动态模板和等角变换的遥感影像地面控制点匹配算法[J].测绘科学,2005,30(4):51-53. Deng X L,Wang C Y.A remote sensing image ground control point matching algorithm based on dynamic template and conformal transform[J].Science of Surveying and Mapping,2005,30(4):51-53.
 Xiong Z,Zhang Y.A novel interest-point-matching algorithm for high-resolution satellite images[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(12):4189-4200.
 周绍光,孙金彦,凡莉,等.高分辨率遥感影像的建筑物轮廓信息提取方法[J].国土资源遥感,2015,27(3):52-58.doi:10.6046/gtzyyg.2015.03.10. Zhou S G,Sun J Y,Fan L,et al.Extraction of building contour from high resolution images[J].Remote Sensing for Land and Resources,2015,27(3):52-58.doi:10.6046/gtzyyg.2015.03.10.
 王东广,肖鹏峰,宋晓群,等.结合纹理信息的高分辨率遥感图像变化检测方法[J].国土资源遥感,2012,24(4):76-81.doi:10.6046/gtzyyg.2012.04.13. Wang D G,Xiao P F,Song X Q,et al.Change detection method for high resolution remote sensing image in association with textural and spectral information[J].Remote Sensing for Land and Resources,2012,24(4):76-81.doi:10.6046/gtzyyg.2012.04.13.
 刘小洲.高分辨率遥感图像的变化检测技术研究[D].长沙:国防科学技术大学,2007. Liu X Z.Researches on Change Detection from High Resolution Remote Sensing Images[D].Changsha:National University of Defense Technology,2007.
 侯群群,王飞,严丽.基于灰度共生矩阵的彩色遥感图像纹理特征提取[J].国土资源遥感,2013,25(4):26-32.doi:10.6046/gtzyyg.2013.04.05. Hou Q Q,Wang F,Yan L.Extraction of color image texture feature based on gray-level co-occurrence matrix[J].Remote Sensing for Land and Resources,2013,25(4):26-32.doi:10.6046/gtzyyg.2013.04.05.
 Haralick R M,Shanmugam K,Dinstein I H.Textural features for image classification[J].IEEE Transactions on Systems,Man,and Cybernetics,1973,SMC-3(6):610-621.