卫星遥感影像信息缺失检测

Missing Information Detection on Satellite Remote Sensing Images

随着国产卫星在轨服役时间变长,卫星传感器部件老化导致成像系统拍摄的遥感影像上存在信息缺失,需要在影像生产前对其进行剔除或处理。本文提出了自动化遥感影像信息缺失检测方法,针对国产卫星遥感影像中的横向条带、纵向条带、局部像元信息缺失和图像波段异常4种情况进行检测。实验结果表明,该方法检测精度较高,作为生产预处理的一个环节,可以过滤大量无法满足应用需求的影像,提高影像生产效率。

With the increase of service time of on-orbit satellite,aging of satellite sensor components causes the missing of information on remote sensing images captured by the imaging system.It is necessary to remove or fix the images with missing information before production.An automatic detection method of the missing information on domestic satellite images was proposed in this paper,which can detect horizontal stripe noise,vertical stripe noise,partial pixel missing and band anomalies.The experimental results show that the detection method has high accuracy.As a step of the production pre-processing,it can rule out a large number of images that cannot meet the application requirements,and eventually improves efficiency of image production.