摘要
在遥感数字影像处理中,几何纠正影像周围一般会被大量无效像元填充。这些无效像元往往引起全局统计的偏差,导致遥感影像分类等处理结果的异常。针对这种现象提出一种基于扫描线分析的图像边缘无效像元自动去除方法,并通过实验证明方法的有效性和实用性。
In the remote sensing image processing many invalid pixels are filled up with the images of the geometric correction,which pixels tend to bring about the deviation of global statistics resulting in the remote sensing image processing anomaly such as classification.Aiming at this phenomenon,an automatic method of removing invalid pixels is provided based on the scan line analysis and is proved that this method is effective and practical through experiments.
出处
《测绘工程》
CSCD
2014年第2期15-18,共4页
Engineering of Surveying and Mapping
基金
国家"863计划"重点项目支持(2007AA120203)
关键词
遥感图像
倾斜图像
扫描线分析
无效像元
remote sensing image
image tilting
the scan line analysis
invalid pixel