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Research on the Classification of Remote Sensing Image with Fusion Methods

Author: WangFangFang
Tutor: NaYan
School: Xi'an University of Electronic Science and Technology
Course: Circuits and Systems
Keywords: Remote sensing image classification Merge D - S evidence theory Fuzzy Reasoning Fuzzy Neural Network
CLC: TP751
Type: Master's thesis
Year: 2009
Downloads: 51
Quote: 1
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Abstract


In this paper, based on the integration of remote sensing image classification method , namely the use of DS evidence theory , fuzzy inference theory and fuzzy neural network to achieve the classification of remote sensing images . First, traditional classification methods , begs the classification method based on fusion ; Then, introduced the basic principle of the DS evidence theory and DS evidence theory is applied to the classification problem on this basis ; then introduced fuzzy reasoning the basic process and the definition of similarity , based on a new classification method based on similarity of fuzzy inference ; final discussion of the development of the fuzzy neural network , adaptive fuzzy neural network model , and the use of a adaptive fuzzy neural network classification . The experimental results show that proposed in this paper based on the similarity of fuzzy reasoning methods , better than the DS evidence theory and fuzzy neural network method improves the correct rate of classification and has great practical value and prospects .

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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
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