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基于特征选取及广义傅立叶分形的SAR图像海洋溢油检测算法 被引量:1
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作者 郭越 王晓峰 《海洋学报》 CAS CSCD 北大核心 2014年第5期61-67,共7页
针对海上溢油SAR图像中油膜与类油膜的识别问题,提出了一种结合傅立叶分形与特征提取的检测算法。由于分形特征可以具有无穷多的细节,并在不同的研究尺度存在自仿射特性。这与油膜及类油膜表面的几何形貌特征非常吻合。该算法通过计算... 针对海上溢油SAR图像中油膜与类油膜的识别问题,提出了一种结合傅立叶分形与特征提取的检测算法。由于分形特征可以具有无穷多的细节,并在不同的研究尺度存在自仿射特性。这与油膜及类油膜表面的几何形貌特征非常吻合。该算法通过计算样本的傅立叶分形特征,组成油膜与类油膜的特征空间。然后,应用基于差分进化的特征选取方法将利于分类的重要特征值筛选出来。再利用重要特征值对原有样本进行分类。实验表明,经特征选取的分形特征向量能够以100%的准确率将两类样本区分开。该算法在选取重要特征的同时实现了对高维特征空间降维的目的,该思想可以应用于其他的基于高维特征的识别系统中,具有普遍的适用性。 展开更多
关键词 SAR 油膜 类油膜 傅立叶分形 特征选取
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Use of Otolith Shape for the Identification of Trumpeter Sillago (Sillago maculata) and Silver Sillago(Sillago sihama) 被引量:2
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作者 WANG Yingjun YE Zhenjiang LIU Qun 《Journal of Ocean University of China》 SCIE CAS 2010年第3期286-290,共5页
Otolith shape is species-specific in fish.In this study,161 samples of Trumpeter sillago Sillago maculata and 164 of Silver sillago Sillago sihama were collected from Beibu Gulf in July 2009.The main objective of this... Otolith shape is species-specific in fish.In this study,161 samples of Trumpeter sillago Sillago maculata and 164 of Silver sillago Sillago sihama were collected from Beibu Gulf in July 2009.The main objective of this study was to use morphological variables and Fourier harmonics to describe otolith characteristics and use discriminant analyses to separate the two species.Otoliths were measured by traditional one and two dimensional measures(otolith length,width,diameters,area,perimeter,rectangularity and circularity),as well as by Fourier analysis to capture the finer regions of the otolith.Analysis of covariance(ANCOVA) showed that there was significant correlation between morphological variables(diameter,perimeter,otolith length,otolith width,otolith area,density,harmonics 3,harmonics 4,harmonics 5,harmonics 13,harmonics 15,and harmonics 16) and body length.To minimize size effects on the morphological variables between species,only fish with a body length between 90 and 140 mm were included in the data analysis and the variables which had significant relation with body length were transformed using the residual.The result showed that the accuracy of discriminant analysis was 97.8% and 100% for Trumpeter sillago and Silver sillago,respectively.This high accuracy indicated that otolith shape was described accurately by morphological variables and Fourier harmonics,and discriminant analysis was an effective way to identify and separate the two species. 展开更多
关键词 Sillago maculate Sillago sihama Otolith shape analysis Fourier analysis IDENTIFICATION
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