毕海霞, 魏志强. 基于区域识别和区域扩展的相位解缠算法[J]. 电波科学学报, 2015, 30(2): 244-251. doi: 10.13443/j.cjors.2014042401
      引用本文: 毕海霞, 魏志强. 基于区域识别和区域扩展的相位解缠算法[J]. 电波科学学报, 2015, 30(2): 244-251. doi: 10.13443/j.cjors.2014042401
      BI Haixia, WEI Zhiqiang. Phase unwrapping method based on region-recognition and region-expansion[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2015, 30(2): 244-251. doi: 10.13443/j.cjors.2014042401
      Citation: BI Haixia, WEI Zhiqiang. Phase unwrapping method based on region-recognition and region-expansion[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2015, 30(2): 244-251. doi: 10.13443/j.cjors.2014042401

      基于区域识别和区域扩展的相位解缠算法

      Phase unwrapping method based on region-recognition and region-expansion

      • 摘要: 由于实际的合成孔径雷达(Synthetic Aperture Radar, SAR)图像中各个区域的相干性不同, 干涉合成孔径雷达解缠中, 低相干区域的误差容易在整幅图像中传播.对此, 提出了一种结合区域识别和区域增长的区域识别与扩展解缠方法.在数据预处理阶段,融合可见光图像对SAR图像掩模分类, 剔除失相干区域,避免其误差传播至整幅图像.在研究区域中, 选取高相干的、稳定的像素作为生长种子, 以SAR图像的相干系数和相邻已解缠像素的数量为指导, 缠绕像素相位的模糊数经反复迭代检测后, 被加入已解缠区域, 解缠像素由高相干区域向低相干区域扩展, 直到完成整个区域的解缠.相控阵型L波段合成孔径雷达和高级合成孔径雷达数据实验结果和算法比较证明了所提方法在解缠精度上的优越性.

         

        Abstract: Due to the fact that unwrapping errors in low coherence areas spread easily to other regions in discrepant coherence interferogram, a new phase unwrapping algorithm based on region-recognition and region-expansion method is proposed. After merging optical image of the same area, irrelevant low coherence regions are removed from the SAR image to avoid their errors spreading. During region expanding process, stable and high coherence pixels are selected as growing seeds firstly, and phase unwrapping is guided by coherence information and weighted numbers of unwrapped neighbor pixels. Pixels will join the unwrapped regions after their ambiguity numbers are qualified. The unwrapped regions expand pixel by pixel from high coherence regions to low coherence regions until the boundary is reached. The experiment results on the PALSAR and ENVISAT-ASAR data in Hong Kong region and Iran Bam region demonstrate its validity and advantages over other classic methods

         

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