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基于分形理论的遥感图像判别技术综述
引用本文:邹涛,漆德宁. 基于分形理论的遥感图像判别技术综述[J]. 舰船电子工程, 2012, 32(4): 13-15,21
作者姓名:邹涛  漆德宁
作者单位:解放军陆军军官学院,合肥,230031
摘    要:遥感图像判别是遥感领域研究的重要部分,民用和军事应用价值巨大。通过对遥感卫星图像特征和分形物理模型的研究角度对地物判别技术进行综述,综合了近年来提出的典型的遥感图像判别方法的基本原理和最新研究进展。从相应的研究得知,利用图像分形维数特征,对遥感图像进行分类是可行的。最后展望了遥感图像判别技术的未来研究方向,并给出了一些建议。

关 键 词:遥感  分形理论  分形布朗运动  毯覆盖模型

Overview of the Remote Sensing Identification Distinguish Based on Fractal Theory
ZOU Tao,QI Dening. Overview of the Remote Sensing Identification Distinguish Based on Fractal Theory[J]. Ship Electronic Engineering, 2012, 32(4): 13-15,21
Authors:ZOU Tao  QI Dening
Affiliation:(Army Officer Academy of PLA,Hefei 230031)
Abstract:Remote sensing identification is the important component of remote sensing fields,and has great civil and military applications.From the features of remote sensing satellite imagery and fractal physics model,surface identification technology is summarized.The basic theory of typical remote sensing image identification is proposed recently and the latest research is synthesized.Using image fractal dimension features to classify remote sensing image is feasible according corresponding research.In the end,the future research direction of remote sensing image identification is prospected and some suggestion is proposed.
Keywords:remote sensing  fractal theory  fraetional Brownian motion  blanket model
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