Dissertation > Excellent graduate degree dissertation topics show

Road Enhancement and Extraction in Remote Sensing Images Based on Nonsubsampled Contourlet Transform

Author: FengYingTao
Tutor: ZhongZuo
School: Xi'an University of Electronic Science and Technology
Course: Circuits and Systems
Keywords: Remote sensing image NSCT Road enhancements Road Extraction Directional
CLC: TP751
Type: Master's thesis
Year: 2010
Downloads: 204
Quote: 1
Read: Download Dissertation


In recent years, due to the wavelet analysis of point-like singularity of the objective function has optimal nonlinear approximation properties, they have been widely applied to signal processing in high-dimensional case, wavelet analysis can not take full advantage of the unique data geometric characteristics, is not the optimal or most sparse \In order to solve this problem, the multi-scale geometric analysis (MGA) thought came into being, it is committed to building a high-dimensional function under optimal approximation representation. Nonsubsampled Contourlet (NSCT) as a multi-scale geometric analysis tool has multi-scale performance multi-directional translation invariant, NSCT coefficient than the wavelet coefficients more accurate representation of the target in denoising, fusion, and enhance and other applications to obtain better results. In addition, NSCT is a stationary frame transformation, the scale and direction of the adjustment of parameters is more convenient, and therefore has better applicability. In this paper, NSCT theory discussed proposed based nonsubsampled image road extraction and enhancement algorithms, and the integration of a variety of algorithms in the system. (1) a road extraction method of remote sensing image based on NSCT transform. First road NSCT characteristics and NSCT transform coefficient analysis, using the obvious characteristics of the road NSCT decomposition coefficient for feature extraction and feature matrix FCM (Fuzzy C-means) clustering features poly class results of the non-maxima suppression, the road extraction preliminary results, post-processing operation, then after the road to pseudo connections to get the final road extraction results. (2) based the NSCT transform road remote sensing image enhancement method. Using morphological NSCT transform domain of road direction enhancements to enhance the road at the same time, better able to maintain the original width of the road is conducive to follow the road extraction work. (3) NSCT-based road remote sensing image enhancement software and extraction system. The system integrated the road enhancements of remote sensing images, automatic road extraction, interactive correction function can be used for the actual remote sensing images preliminary road extraction In addition, the article also add road splicing, to make the system more versatile. This work has been the National 863 Program (No.2007AA12Z223) and the National Natural Science Foundation of China (No.60702062, 60505010) support.

Related Dissertations

  1. Road extraction algorithm based on region segmentation of remote sensing image,TP751
  2. Study of High Resolution Image Road Extraction Method Based on Morphology Strategy,TP751
  3. Study on Road Extraction of High Resolution Polarimetric SAR Interferometry Data,TN957.52
  4. Research on Denoisingalgorithm for MR Image Based on Contourlet Transform,TP391.41
  5. Extraction Algorithm based on remote sensing images of the road,TP751
  6. Multi-source Remote Sensing Image Fusion and Its Application Research,TP751
  7. Research on Method of Retrieval from Remote Sensing Image with Global and Local Features,TP751
  8. Research on Digital Watermarking Algorithm of Remote Sensing Image with High Radiometric Resolution,TP309.7
  9. SAR image denoising and fusion based on multiscale geometric analysis,TN957.52
  10. Based on multi-feature classification comparison Urban Remote Sensing Dynamic Monitoring,TP873
  11. Affecting College Students' Pro Athletes at the main psychological quality of,G826-4
  12. Instructional Design of "V+来/去" Structure Based on the Primary Phase of Korean Cognitive Style,H195.3
  13. Study on Oct-4 Methylation in Induced Differentiation of Bone Mesenchymal Stem Cells,R329
  14. Remote Sensing Image Forestry Information Mining and Case Analysis,S771.8
  15. A Study on the Distributed Growth Model of Chinese Fir Based on GIS and RS,S791.27
  16. Study on Registration Technologies of Different Species Remote Sensing Images,TP751
  17. Low Bit-rate and High-fidelity Compression Method for Remote Sensing Image,TP751
  18. Research on Segmentation of UAV Remote Sensing Imagery and Ground Objects Extraction,TP751
  19. Research on Dodging Methods of Optical Remotely Sensed Image,TP751
  20. Multi-Source Remote Sensing Image Registration Based on Scale Invariant Feature Transform,TP751
  21. Remote Sensing Image Retrieval Based on Radiation and Spatial Information,TP751

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