船只衰落尾迹的小波多尺度广义分形特征分析  

Generalized Fractal Multi-Scale Wavelet Characteristics of Fading Ship Wake

作　　者：陶荣华[1] 刘翠华[1] 陈标[1] 许素芹[1] 

机构地区：[1]海军潜艇学院,山东青岛266071

出　　处：《测绘科学技术学报》2009年第3期184-186,共3页Journal of Geomatics Science and Technology

摘　　要：船只衰落尾迹遥感图像是弱反差纹理图像,检测强尾迹的方法不具有适用性。基于区域特征统计比较的思想,构建了一种会聚衰落尾迹异常的小波多尺度广义分形特征提取方法。该方法由小波多尺度分解、细节图像融合、多尺度基本特征计算、多尺度分形特征计算和广义分形特征计算等5步骤组成。仿真实验表明,该特征能完整表达尾迹并体现强弱差别,是一种有效的船只衰落尾迹检测技术,具有广泛的应用前景。The remote sensing images of fading ship wakes have low contrast, therefore, the traditional methods for strong ship wakes can＇ t work well on them. Based on the imagery of fading ship wakes and background exist statistics difference, a detection method named generalized fractal multi-scale wavelet analysis technique has been proposed, which can focus the characteristics of the fading ship wake. This method is composed of five steps, which are multi-scale wavelet decomposition, detail image fusion, multi-scale primary characteristic calculation, fractal analysis and generalized fractal analysis. The experiment results show that the generalized fractal multi-scale wavelet characteristics can detect the fading ship wake well and at the same time reflect the strength. The present investigations show that the generalized fractal multi-scale wavelet analysis technique is a useful method for fading ship wake detection, which shows prominent prospect in future use.

关 键 词：衰落尾迹 小波 多分辨率分析 融合 广义分形特征 提取技术 

分 类 号：P237[天文地球—摄影测量与遥感]