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遥感图像几何纠正中GCP选取

DOI: 10.6046/gtzyyg.2014.03.14, PP. 86-91

Keywords: 分水岭分割,加权邻域检测,GrabCut分割,轮廓检测,椭圆拟合

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Abstract:

为了降低人为因素对遥感图像几何纠正中地面控制点(groundcontrolpoint,GCP)选取的影响,提高GCP的采集效率,在基准图像上采用2种方法选取GCP:1改进的分水岭分割和加权邻域检测方法选取道路交叉点作为GCP;2GrabCut分割和轮廓检测方法选取区域重心作为GCP。以0.5m分辨率的航空图像作为基准图像,使用上述方法选取GCP,对2.5m分辨率的ALOS图像进行几何纠正实验。结果表明,本次研究采用的GCP选取方法受人为因素影响小,精度在1个像元以内,并可实现半自动选取。这一技术成果已经应用于正射影像图(digitalorthophotomap,DOM)生产中的GCP提取,在实现中小比例尺DOM更新中发挥了重要作用。

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