本文選題：極化合成孔徑雷達(dá) + 艦船檢測(cè)�。� 參考：《測(cè)繪科學(xué)技術(shù)學(xué)報(bào)》2017年01期

【摘要】：極化合成孔徑雷達(dá)數(shù)據(jù)蘊(yùn)含了豐富的地物極化散射信息,已廣泛應(yīng)用于海上艦船目標(biāo)檢測(cè)研究。針對(duì)極化相干矩陣無法直接用于分析特定散射體物理特性的缺陷,利用Yamaguchi極化分解改進(jìn)了極化Notch濾波器。將基于模型的極化分解方法引入Notch濾波器,利用表面散射、二次散射、體散射和螺旋體散射等散射機(jī)制的能量構(gòu)造散射矢量代替極化相干散射矢量,并加入功率能量因子,構(gòu)造新的極化SAR圖像Notch濾波器。Radarsat-2全極化SAR圖像實(shí)驗(yàn)結(jié)果表明,改進(jìn)算法有效增強(qiáng)了艦船目標(biāo)與海雜波背景間的對(duì)比度,檢測(cè)性能優(yōu)越。
[Abstract]:Polarimetric synthetic Aperture Radar (ISAR) data contain abundant polarimetric scattering information and have been widely used in the research of ship target detection at sea. Because the polarimetric coherence matrix can not be directly used to analyze the physical properties of a particular scatterer, the polarimetric Notch filter is improved by Yamaguchi polarization decomposition. The model-based polarization decomposition method is introduced into Notch filter. The scattering vector is constructed by using the energy of surface scattering, secondary scattering, volume scattering and spiral scattering to replace the polarized coherent scattering vector, and the power energy factor is added. The experimental results of constructing a new polarimetric SAR image Notch filter. Radarsat-2 full polarimetric SAR image show that the improved algorithm can effectively enhance the contrast between ship target and sea clutter background and the detection performance is superior.
【作者單位】： 信息工程大學(xué);太原衛(wèi)星發(fā)射中心技術(shù)部;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(41301481)
【分類號(hào)】：TN957.52

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