Dissertation > Excellent graduate degree dissertation topics show

Feature Extraction of Target Chips in SAR Images

Author: ZhouLin
Tutor: SuYi
School: National University of Defense Science and Technology
Course: Information and Communication Engineering
Keywords: Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) feature extraction image segmentation azimuth estimation attributed scattering center Cramer-Raw Low Bound (CRLB)
CLC: TP391.41
Type: Master's thesis
Year: 2007
Downloads: 132
Quote: 4
Read: Download Dissertation


In military field, Synthetic Aperture Radar (SAR) has been an important method for intelligence requiring. People get required intelligences by the interpretation of SAR images. With the advancement of the capacity of acquiring SAR images, Automatic Target Recognition (ATR) of SAR images has become an important aspect in the interpretation of SAR images. The feature extraction of the SAR targets can reduce the dimension of the data to be processed and recognize the target rapidly, so it plays a key role in a SAR ATR system. According to the data we used in the process of feature extraction, we classify the features of SAR targets into geometrical features and electromagnetic features, which will be analysed and extracted subsequently.From the aspect of the extracting of geometrical features, two image segmentation methods are investigated firstly to acquire target area in SAR images, the performance of the two methods is also analysed and compared. We analyse the leading contour method and the encapsulating box method which are both commonly used in azimuth estimation. A combined method is proposed which improves the accuracy of the two estimation methods mentioned above. And then we analyse the mathematic characteristics and corresponding extraction methods of several point features by the using of the concept in topography. A series of area features are extracted in the last of the chapter.From the aspect of the extracting of electromagnetic features, we use the attributed scattering center model to describe target’s electromagnetic characteristics in high-frequency region, by which we investigate the attributed scattering center features in stead of electromagnetic features. We introduce the concept of the attributed scattering center feature, the parameteric model, the theory of the SAR image formation and the normalization of the parameteric model. The method of parameter estimation is analysised and approved. We also simplify the analysis of the model and the parameter estimation, and approve the effectivity of the feature extraction method with simulated SAR data. At last the Cramer-Raw Low Bound (CRLB) of the estimation variance is derived, and the effect of the resolution and SNR versus the performance are analysed respectively.

Related Dissertations

  1. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  2. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  3. Research on Feature Extraction and Classification of Pulse Waveform for Cholecystitis and Nephrotic Syndrome Diagnosis,TP391.41
  4. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  5. Research on Image Recognition Algorithm in the Forest Fire Prevention System,TP391.41
  6. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  7. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  8. Research on Visual Measurement for Spacecraft Rendezvous and Approach,TP391.41
  9. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  10. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  11. Multi-currency Notes Technology Research and Implementation,TP391.41
  12. The Research on Paper Currency Classification Method Based on Harr-Like Feature and Minimal Ball Including Samples,TP391.41
  13. Pavement Distress Recognition Based on Image,TP391.41
  14. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  15. Research on Fusion Algorithm of Hyper Spectral and High Spatial Resolution Remote Sensing Image,TP751
  16. Application Research of Digital Image Processing on Container Inspection,TP274.4
  17. Study on the Design and Biomechanical Behaviors of Individualized Artificial Knee Joint,R318.1
  18. Based on statistical methods of magnetic resonance imaging of the human brain image segmentation and three-dimensional analysis of the data,R445.2
  19. An Approach for Identifying a Plant Resistance Gene Based on the Random Forest,Q943
  20. Road extraction algorithm based on region segmentation of remote sensing image,TP751
  21. Tobacco Diseases Auto-Recognition Research Based on Image Processing Technology,S435.72

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile