基于局部最小生成樹(shù)的干涉SAR二維相位展開(kāi)
Two-Dimensional Phase Unwrapping for Interferometric SAR Based on Local Minimum Spanning Tree
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摘要: 二維相位展開(kāi)是干涉SAR數(shù)據(jù)處理中的關(guān)鍵步驟之一.該文在分支優(yōu)化模型的基礎(chǔ)上提出一種基于局部最小生成樹(shù)的干涉SAR二維相位展開(kāi)算法.該算法克服了經(jīng)典的Goldstein算法中殘余點(diǎn)之間重復(fù)連接形成閉合區(qū)域的缺點(diǎn).同時(shí)由于質(zhì)量圖的使用,優(yōu)化了殘余點(diǎn)的連接,局部最小化了分支的總長(zhǎng)度,實(shí)驗(yàn)結(jié)果證實(shí)了該算法的有效性.Abstract: In this paper, a new approach to two-dimensional phase unwrapping for in- terferon ictric SAR, based on local iuiniiiiitin spanning tree is presented deriving liy branch optimum model. This approach avoids separated interferograin into isolated regions resuh- ing in incomplete unwrapped phase by traditional connecting residues methods. Guided by quality snap, the connecting of residues is proposed exactly and optimized. The experiments on real interferograni show the validity of this approach.
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