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船只衰落尾迹的小波多尺度广义分形特征分析
引用本文:陶荣华,刘翠华,陈标,许素芹.船只衰落尾迹的小波多尺度广义分形特征分析[J].测绘学院学报,2009(3).
作者姓名:陶荣华  刘翠华  陈标  许素芹
作者单位:海军潜艇学院;
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。

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  

Generalized Fractal Multi-Scale Wavelet Characteristics of Fading Ship Wake
TAO Rong-hua,LIU Cui-hua,CHEN Biao,XU Su-qin.Generalized Fractal Multi-Scale Wavelet Characteristics of Fading Ship Wake[J].Journal of Institute of Surveying and Mapping,2009(3).
Authors:TAO Rong-hua  LIU Cui-hua  CHEN Biao  XU Su-qin
Institution:Navy Submarine Academy;Qingdao 266071;China
Abstract: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 primar...
Keywords:fading wake  wavelet  multi-resolution analysis  fusion  generalized fractal characteristic  detection technique  
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