Dissertation > Excellent graduate degree dissertation topics show

SAR Raw Data Compression Based on the Compressed Sensing Technology

Author: HuXinYang
Tutor: ZouBin
School: Harbin Institute of Technology
Course: Information and Communication Engineering
Keywords: Synthetic Aperture Radar SAR raw data compression block adaptive quantization coding Wavelet transform compressed sensing Imaging algorithm
CLC: TN958
Type: Master's thesis
Year: 2010
Downloads: 277
Quote: 0
Read: Download Dissertation

Abstract


With the development of Synthetic aperture radar (SAR) into multi-band, multi-polarization, and varieties of modes of ultra-high resolution imaging radar, the main problem increased is the huge amount of raw data for transmission and storage. Effective compression on the SAR raw data, is one of the effective solutions to this problem. This dissertation is focus on a new SAR raw data compression algorithm - based on compressed sensing theory of SAR raw data compression.Firstly, this dissertation analyzes the characteristics of SAR raw data, including statistical characteristics, spectrum, correlation, introduces the quantitative coding, reviews of two classic SAR raw data compression algorithms. In this dissertation, a block adaptive quantization coding algorithm and the wavelet transform with block adaptive quantization coding combination algorithm- SAR raw data compression based on wavelet transform are studied. Then carries on effective compression for SAR Raw data and gives a detailed appraisal by offering some evaluation results.Then, the dissertation introduces latest theoretical-compressed sensing framework, analyzes the SAR signal’s sparse representation and conditions compressed sensing theory is used in the application of SAR raw data .In the study on the compression of SAR raw data compression based on compressed sensing, we consider the selection of the original data, data collection and recovery. SAR imaging algorithm will be seen as a transformation base here. Combining the SAR imaging algorithm and theory of compressed sensing, we achieve effective compression of SAR raw data compression based on compressed sensing with comparison with two classic algorithms.Experimental results show that SAR raw data compression based on the compressed sensing, can remain most important retain target information of the image with efficient data reduction.

Related Dissertations

  1. The Research on Ship Imaging Algorithm under the Sea Clutter Background,TN958
  2. Modeling of Sea Clutter and Effect of Sea Clutter on Isar Imaging,TN957.54
  3. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  4. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  5. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  6. Characteristics of sensory stimulation evoked,R318.0
  7. Network transmission ROI image coding algorithm,TN919.81
  8. Image Fusion Algorithms Based on Multi-scale Analysis,TP391.41
  9. Feature Extraction Technologies Research and Implementation of 3D Models Based on Wavelet Transform,TP391.41
  10. An Algorithm on Clustering and Anomaly Detection for Multiple Data Streams,TP311.13
  11. Research on Information Hiding Based on Images,TP309.7
  12. Design and Implication of Image Compression System Based on Wavelet and DM6446,TP391.41
  13. Application of the Fractional Fourier Transform to ISAR Maneuvering Target Imaging,TN957.52
  14. Combined DWT Dynamic Data Reconciliation Research and Application,TP274
  15. Facial expression recognition based on sparse representation residuals fusion,TP391.41
  16. Traffic Prediction Model Based on Wavelet and Markov,TP393.06
  17. The Study of Image Watermark Base on Discrete Wavelet Transformation,TP309.7
  18. Research on Subimage Selection and Mathching Method for Synthetic Aperture Radar(SAR) Target Recognition,TN957.52
  19. Compressed Sensing Based Abnormal Events Detection in Wireless Communication Net-works,TN929.5
  20. Research on Cooperative Spectrum Sensing Schemes Based on Random Matrix Theory and Compressed Sensing,TN925
  21. Research on Signal Reconstruction Algorithm of Compressive Sense,TN911.6

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar: institutional sub-
© 2012 www.DissertationTopic.Net  Mobile