基于lk范數(shù)正則化的SAR圖像目標(biāo)特征增強
Target Feature-Enhanced of SAR Image Based on Regularization of lk Norm
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摘要: 增強SAR圖像的目標(biāo)特征對自動目標(biāo)識別等具有重要意義。該文改進(jìn)了一種基于lk 范數(shù)正則化方法，并用于SAR圖像目標(biāo)特征增強。該方法通過開發(fā)利用符合SAR圖像統(tǒng)計特性的先驗知識，構(gòu)造附加約束，把圖像目標(biāo)特征增強問題規(guī)劃為形式簡單的最優(yōu)化問題，并利用一種迭代算法進(jìn)行快速求解。仿真和實測數(shù)據(jù)計算結(jié)果證實了該方法的有效性。
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關(guān)鍵詞:
- SAR圖像;特征增強; lk范數(shù); 正則化
Abstract: Target feature-enhanced processing of SAR image is meaningful to SAR ATR. One regularization method based on lk norm used for target feature-enhanced of SAR image is discussed in this paper. This method exploits the useful prior information which is well consistent to the statistically property of SAR image, makes up the additional constraint condition, turns the problem of target feature-enhanced processing of SAR image into the simple-formed optimization problem. A fast iterative algorithm is proposed to solve the optimization problem. The Simulation results and computational results of measured data prove its validity. -
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