CAJ | 학술논문

原始的广义相对最优极化(GOPCE)中，通过最大化目标与背景极化参数融合结果的比值，而求取极化参数的最优系数向量，但没有考虑参数融合结果中目标与杂波的分布。为提高基于极化合成孔径雷达图像的舰船目标检测性能，提出了一种基于极化特征选择及改进 GOPCE的目标检测方法。首先提出了一个改进的优化准则，同时考虑了最大化信杂比与最小化目标与杂波分布的方差。基于改进的优化准则，选择了3个最优极化特征，并求解对应的最优系数向量，获取了目标与背景区分度更大的融合图像。实验结果表明，该方法有效提高了目标的检测性能。
원시적엄의상대최우겁화(GOPCE)중，통과최대화목표여배경겁화삼수융합결과적비치，이구취겁화삼수적최우계수향량，단몰유고필삼수융합결과중목표여잡파적분포。위제고기우겁화합성공경뢰체도상적함선목표검측성능，제출료일충기우겁화특정선택급개진 GOPCE적목표검측방법。수선제출료일개개진적우화준칙，동시고필료최대화신잡비여최소화목표여잡파분포적방차。기우개진적우화준칙，선택료3개최우겁화특정，병구해대응적최우계수향량，획취료목표여배경구분도경대적융합도상。실험결과표명，해방법유효제고료목표적검측성능。
The optimal coefficient vector is calculated by maximizing the fusion ratio of polarization parameters of targets to those of clutter in the traditional Generalized Optimization of Polarimetric Contrast Enhancement(GOPCE),while the distributions of the fusion value corresponding to desired targets and clutter are ignored. A feature selection method and a modified GOPCE model are developed to improve ship detection performance in polarimetric Synthetic Aperture Radar(SAR). A modified optimization criteria is proposed,which considers minimizing variance of targets and clutter as well. Three best polarization features are selected and the optimal coefficient vector is calculated based on the criteria,and the difference between targets and clutter is enhanced in the fused image. Experiment results demonstrate the improvement of the proposed method.