一種基于差異度的極化SAR圖像迭代分類方法
Classification of Polarimetric SAR Images Based on Difference Degree
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摘要: 該文提出了一種用極化SAR數(shù)據(jù)協(xié)方差矩陣的相關(guān)性和回波功率差異來定義的目標(biāo)間的差異度，并在這一差異度的基礎(chǔ)上提出了一種新的迭代分類方法。該迭代方法與基于Wishart距離的迭代分類方法相比，不需要矩陣的求逆運(yùn)算和矩陣的對數(shù)運(yùn)算，降低了迭代過程的計(jì)算量，也不再需要目標(biāo)的先驗(yàn)信息，擴(kuò)展了其適用范圍。該方法應(yīng)用于NASA/JPL的SIR-C系統(tǒng)在香港地區(qū)的實(shí)測極化SAR數(shù)據(jù)，得到了很好的分類效果。
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關(guān)鍵詞:
- 極化SAR; 差異度; 迭代分類
Abstract: A concept of difference degree which is based on the coherence of the covariance matrices and the power difference is given in this paper. An iterative method of classification is proposed based on difference degree. This new method not only reduces the compute, but also needs not apriority information of the targets compared with Wishart classifier. This new classifier is applied to the polarimetric SAR image of Hong Kong from the NSAS/JPL SIR-C data and gets an excellent classification result. -
劉秀清. 全極化合成孔徑雷達(dá)極化信息處理[D]. [博士論文],北京: 中國科學(xué)院電子學(xué)研究所, 2004.[2]Cloude S R, Pottier E. An entropy based classification scheme for land applications of polarimetric SAR[J].IEEE Trans. on Geoscience and Remote Sensing.1997, 35(1):68-78[3]Lee J S, Grunes M R, Ainsworth T L, et al.. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier[J].IEEE Trans. on Geoscience and Remote Sensing.1999, 37(5):2249-2258[4]Lee J S, Grunes M R. Classification of multi-look polarimetric SAR data based on complex Wishart distribution[C]. National Telesystems Conference, NTC-92. Washington：1992: 7-21-7-24.[5]Freeman A, Durden S L. A three-component scattering model for polarimetric SAR data[J].IEEE Trans. on Geoscience and Remote Sensing.1998, 36(3):963-973[6]Pottier E, Lee J S. Unsupervised classification scheme of polsar images based on the complex Wishart distribution and the H/A/ polarimetric decomposition theorem[C]. EUSAR2000. Munich: 2000: 265-268.[7]Lee J S, Grunes M R, Pottier E, Ferro-Famil L. Unsupervised terrain classification preserving polarimetric scattering characteristics[J].IEEE Trans. on Geoscience and Remote Sensing.2004, 42(4):722-731 -
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