Dissertation > Excellent graduate degree dissertation topics show

Research on the Fractal Based Remote Sensing Images Fusion and Classification Method

Author: HeLongBing
Tutor: NaYan
School: Xi'an University of Electronic Science and Technology
Course: Circuits and Systems
Keywords: Fractal Image Fusion Target Classify Fuzzy Inference Fuzzy Integral
CLC: TP751
Type: Master's thesis
Year: 2011
Downloads: 182
Quote: 2
Read: Download Dissertation

Abstract


An algorithm of remote sensing object fusing is proposed based on fractal, in this paper.And, a classification algorithm is dragged using the fusion of texture feature classifier and spectral feature classifier based on the fuzzy inference algorithm.In this paper, a new fusing algorithm is dragged based on the theory of fractal used in the common wavelet and IHS algorithm. In the new algorithm, the fractal dim was computed based on every high frequency coefficient of wavelet by adding window. The new algorithm is unlike old fractal remote sensing image fusing method that fractal dim was dragged based on whole image and that ignore the independent function of coefficient. Extracting fractal dim from simulating image, the result proved the fractal dim of the picture can be as an important feature of the texture. The results from the experiment of fusing two real remote sensing images illustrates the algorithm designed in this paper is better than the algorithm of common wavelet pulsed IHS and the old fusing algorithm coinciding the fractal dim in the factor of objective parameter as entropy, spatial frequency and average gradient.In this paper, a classification algorithm is also propped based on fusing the spectral classifier and texture classifier. In the classification algorithm, the spectral of object was dragged from the image frequency domain, then, spectral and texture classifier are designed respectably based on the fuzzy inference. And then, choosing the rule of fuzzy integral merge together the results of the two classifier output. With the characteristics of the spectrum and texture of classification algorithms compared as the algorithm of feature fusing, the algorithm of the paper considers the independence of features of spectral and texture. The overall classification accuracy of the classification method designed in the paper is better than signal classifier, through analyzing the experiment results. At the same time, a fused image and an infused remote sensing image also was tested using the method of the paper, in order to illustrate the fusing of images can get more accuracy classifying result Last, through experiments, the results illustrate the method in the paper is better than the algorithm of feature fusing.

Related Dissertations

  1. Research of Image Mosaic Technology,TP391.41
  2. Speech Emotion Recognition Based on Multifractal,TN912.34
  3. The Properties Study in Multifractal Process,F830.91
  4. The Experiment of Normal Bond Properties between FRP and Concrete,TU528.572
  5. The Research on Content-based Medical Image Retrieval Algorithm,TP391.41
  6. The Research and System Design of Assessment Model for Network Learning Based on Intelligent Computation,TP18
  7. High-speed detection and bayonet vehicle license identification information,TP391.41
  8. Infrared and visible image registration and fusion research,TP391.41
  9. Visible and infrared digital image fusion system design and implementation,TP391.41
  10. Image feature extraction based image fusion research,TP391.41
  11. PDE-based image registration and fusion method,TP391.41
  12. A Research on Variable Weight Synthesis Method for Fuzzy Reasoning,O159
  13. Fuzzy Rough Set Attribute Reduction and Multi-fuzzy Decision Information Fusion,TP18
  14. The Study on Ability of Independent Innovation of Equipment Manufacturing Enterprises in Heilongjiang Province,F426.4
  15. The Application of Beijing-1 Image Fusion and Its Information Extraction from Water Body,P
  16. Research on Applications of Fuzzy Integral in Multiple Analysis,O212.4
  17. Remote sensing image fusion technology based quality improvement and repair,TP751
  18. The Failure Recognition Research of GIS Partial Discharge Signal Measured by the Pulse Current Method,TM595
  19. Information Extraction and Change Research of the Wetlands Along the Yangtze River and Lakes in Anqing,X37
  20. Research and Application of Fractal Image Coding in Information Hiding,TN919.81
  21. Seven kinds of indoor potted foliage plants Comparative Study of ecological functions,S682.36

CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
© 2012 www.DissertationTopic.Net  Mobile