从遥感图像目标识别处理等应用特点出发,提出一种卫星图像目标位置精校正的新方法。直接在系统级几何校正的遥感图像上检测目标及其附近的地面控制点,然后进行异常控制点检测,最后利用正常控制点对目标地理位置实施精校正。同时提出一种基于局部区域最大团的异常控制点自动检测方法。实验结果表明,所述方法在保证目标定位精度的同时,可显著提高目标地理位置精校正的速度。

Based on the characteristics of target identification,a new method for target location fast correction in satellite image is proposed in this paper.First,the targets and the nearby ground control points(GCPs) are detected in the satellite image which has been processed with basic geometric correction method.Then the outliers of GCPs are detected.Finally,the geometrical location of the targets are corrected by the GCPs.Also in this paper,a new algorithm based on regional cliques is proposed to automatically detect the outliers of GCPs.The example results indicate that the processing speed for target location correction can be greatly improved and the target location precision can also be ensured.