相關(guān)系數(shù)圖分類及其在干涉SAR二維相位展開中的應(yīng)用
Coherence MAP Classification and Its Application in Two-Dimensional Phase Unwrapping
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摘要: 二維相位展開是干涉SAR數(shù)據(jù)處理中的關(guān)鍵步驟。該文在討論干涉SAR相關(guān)系數(shù)圖分類與二維相位展開之間關(guān)系的基礎(chǔ)上，將相關(guān)系數(shù)圖分類應(yīng)用于干涉SAR二維相位展開。提出了基于K-均值-Markov隨機(jī)場(chǎng)的干涉SAR相關(guān)系數(shù)圖組合分類算法。在相位展開時(shí)對(duì)特定類別的區(qū)域作相應(yīng)的處理，避免了不含有效相位區(qū)域的相位誤差在相位展開過程中的傳播。實(shí)驗(yàn)結(jié)果證實(shí)了該方法的有效性。Abstract: Based on the analyzing of the relation between interferoinetric SAR coherence map classification and two-dimensional phase unwrapping, coherence map classification is applied in two-dimensional phase unwrapping. A K-mean and Markov random field combined classification algorithm is presented for the coherence map classification. The classified coherence map is used to confine the propagation of the local phase errors of low coherence! regions during the two-dimensional phase unwrapping. The experiments on airborne X-band InSAR data show the validity of this approach.
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