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基于支持向量机的InSAR干涉图相位解缠法 被引量：3

Region-Cutting InSAR Phase Unwrapping Algorithm Based on Support Vector Machine
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摘要 提出了一种基于支持向量机的InSAR干涉图区域分割相位解缠法,以支持向量机为分类工具,利用干涉图中的残差点、相位导数方差等相位属性对干涉图中像元分类,把干涉图分割成高质量非掩模区域和低质量掩模区域。先用改进的Itoh方法对非掩模区域解缠,然后应用区域生长策略对掩模区域解缠。最后用真实的和模拟的干涉相位图试验表明算法比现有的传统算法如枝切法等InSAR干涉图相位解缠方法更有效。 A region-cutting phase unwrapping algorithm based on SVM （Support Vector Machines） is proposed, and every pixel can be classified using the phase-related information including residue and phase derivate variance, thus the intetferogram is cut into high-quality non-mask region and low-quality mask region. Region-growing strategy is applied to unwrap mask region after the non-mask region is unwrapped by modified ltoh method, The experiment result on real and simulated SAR interferogram shows the proposed algorithm is more effective than some existing algorithms such as the branch-cut algorithm.
作者 何儒云 王耀南 毛建旭 彭曙蓉
机构地区 湖南农业大学 湖南大学电气与信息工程学院 湖南大学电气与信息工程学院
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2008年第6期1493-1496,共4页 Journal of System Simulation
基金 国家自然科学基金(60375001) 湖南省自然科学基金资助项目(06JJ4044)
关键词 支持向量机 合成孔径雷达干涉测量 相位解缠 区域分割 SVM InSAR phase unwrapping region-cutting
分类号 P237 [天文地球—摄影测量与遥感]
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参考文献12

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共引文献323

同被引文献23

引证文献3

二级引证文献8

系统仿真学报
2008年 第6期

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