【摘要】 基于混沌预测误差的目标检测算法是检测混沌背景下目标的算法.本文对该算法的检测结果进行了分析,分析结果表明其检测到的目标区域比实际的目标区域大.针对这个问题,对基于混沌预测误差的目标检测结果进行了修正,修正后的结果更接近于目标的真实大小.用Lorenz混沌系统产生的仿真数据和实测的机载海面合成孔径雷达(Synthetic Aperture Radar,SAR)图像进行了实验.实验结果与理论分析的结果一致,从而证明了理论分析的正确性.更多还原

【Abstract】 The detection algorithm based on chaotic prediction error is used to detect objects under a chaotic background.The detection result of this algorithm is analyzed in this paper.The analysis result shows that the target region detected according to the algorithm is larger than the actual one.Aiming at the problem,the detection result based on chaotic prediction error is modified.The modified result is much closer to the real size of a target.The experiment was performed with simulation data generated by the Lorenz chaos system and the real ocean image data collected by airborne Synthetic Aperture Radar(SAR).Experimental results accord with that of the theoretical analysis.The validity of theoretical analysis is proved.更多还原