Dissertation > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Data,image processing and admission

Segmentation and the Incident Angle Effect Correction of SAR Image

Author WangJianShe
Tutor LangWenHui
School Hefei University of Technology
Course Signal and Information Processing
Keywords Synthetic Aperture Radar Angle of incidence effect correction Multi-exponential model Entropy minimization MRF image segmentation Polarization scattering characteristics of similarity
CLC TN957.52
Type Master's thesis
Year 2011
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Synthetic Aperture Radar (SAR) is a microwave imaging tool in the field of remote sensing , airborne and wide swath spaceborne SAR image has the obvious effect of the angle of incidence , it is an important reason to affect the SAR image interpretation accuracy . Polarimetric SAR is a new multi-parameter , multi-channel imaging radar , richer than ordinary SAR target scattering information greatly improve its ability to image interpretation . Polarimetric SAR image segmentation is a key link in the process of polarimetric SAR image interpretation and occupy an important position in the image project . Incidence angle effect correction of SAR images and multi-polarization SAR image segmentation techniques , in-depth study , the main work and contributions are as follows : 1 . This paper focuses on the problem of scattering intensity deviation caused by the angle of incidence of the SAR image , in the study coverings deduced backward scattering coefficient and SAR incident angle correlation based on the the SAR image incident angle deviation field approximation mathematical relationship . The article also describes the basic theory of polarimetric SAR polarimetric SAR data are summarized representation and briefly describes the the target polarization characteristics of decomposition method . On this basis , the systematic study of the statistical distribution model for polarimetric SAR data and polarization scattering characteristics similar metrics . Incidence angle deviation field problems for SAR image , the paper studies the the existing SAR image angle of incidence effect correction method is proposed based on the incidence angle deviation field correction method of multi - index models . The experimental results show that the method for the incident angle of the SAR image deviation field correction is effective, having a better correction effect of the angle of incidence than the existing SAR image correction method , and no need to provide the information of the incident angle of the pixel . 3 in-depth study in the multi-polarization SAR image segmentation based on Markov Random Field (MRF) model of multi-polarization SAR image segmentation method , and also study the ML ( Maximum Likelihood ) segmentation algorithm , and H / α non- supervised classification algorithms . MRF segmentation algorithm for the pixel-level disadvantage of sensitivity to noise and a large amount of computation , research MRF segmentation algorithms of the regional level , and to improve the algorithm , the introduction of the target polarization scattering characteristics similar , to improve the existing regional level MRF segmentation algorithm . San Francisco , L-band polarimetric AIRSAR get data to carry out the experiment , the results show that the effectiveness of the proposed algorithm .

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