Dissertation > Excellent graduate degree dissertation topics show

Image sequences containing weak target background clutter estimated rejection techniques

Author: YangZhengYu
Tutor: ZhouNing
School: University of Electronic Science and Technology
Course: Communication and Information System
Keywords: Weak Target The background clutter estimates and suppression Taylor expansion friedman statistic
CLC: TN911.73
Type: Master's thesis
Year: 2005
Downloads: 117
Quote: 0
Read: Download Dissertation

Abstract


Video image sequence in weak target detection and tracking technology has an extremely important theoretical and practical significance , the image background clutter estimation and suppression techniques which can not be missing an important part . This article focus on image sequences containing weak target background clutter estimation and suppression techniques . What the target is weak , faint target itself, what are the characteristics of detecting weak targets existing difficulties , these are questions to be answered , this article on these issues one by one to answer , clarify a weak target definition , characteristics , and the weak target other parts of the image between the linkages . Provide quantitative reference weak targets for follow-up research has important guiding significance . Estimated due to the weak targets themselves are very difficult to detect and identify , plus on the image background clutter and noise interference , easily the weak target masked during target detection is required before the background clutter suppression , proved this process is necessary and feasible . Image background clutter estimation and suppression has a pivotal role , this article will focus on the aspects of the entire target detection and tracking system . This paper describes the background clutter estimated different technical route with two suppression techniques - frequency domain estimated and suppression of background clutter and airspace background clutter estimation and suppression, and specifically a chapter for this the two routes detailed analysis and to measure background clutter estimation of various algorithms with rejection performance criteria . Taylor formula to expand the image into a zero-order , first, second , and the high-end part , and on this basis the new algorithm is estimated based on the the Taylor expansion airspace background clutter suppression . In order to measure the performance of the merits of different algorithms , a computer simulation was conducted , and the results of the use of the evaluation of the performance criteria to measure its performance , and finally after background estimates with the results obtained after the suppression of independence and normality testing .

Related Dissertations

  1. Robust Optimization Cost Design and Implicit Function Robust Design Research,TH122
  2. Falkner-Skan EQUATION,O241.6
  3. Research on Detection and Tracking of Dim Target Based on TBD,TN958.93
  4. SAR image feature extraction and weak target detection method,TN957.52
  5. Coherent integration TBD method based on non- fluctuating target,TN957.52
  6. Key Technology Research of the battlefield reconnaissance MIMO radar,TN958
  7. Study on Long-Term Integration Method for Detection of Weak Target,TN957.51
  8. Based on random Hough transform weak target detection method,TN957.51
  9. The OTHR weak target detection,TN958.93
  10. Based on weak ground radar target detection and tracking dynamic programming algorithm,TN957.51
  11. Fuzzy Neural Network in image weak target detection,TP391.41
  12. Weak target detection in strong clutter,TN957.51
  13. Feature fusion based on principal component analysis and its application,TP391.41
  14. Over-the-horizon Radar Weak Target Detection Based on Dynamic Programming Algorithm,TN958.93
  15. Based on morphological faint moving target detection technology and applications,TP391.41
  16. Video sequences motion analysis technology and its application,TP391.41
  17. Weak target detection in video images,TN911.73
  18. Research on Chaotic Time Series Prediction and Weak Target Signal Detection Methods,TP11
  19. Study on Some Issues of Target Tracking and Multi-sensor Information Fusion,TP202.4
  20. Automatic Target Recognition and Tracking Technology for the Two-Color IR Imaging Guidence,TN216

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Signal processing > Image signal processing
© 2012 www.DissertationTopic.Net  Mobile