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Terrain Surface Parameters Inversion Using L Band Polinsar Images

Posted on:2007-03-13Degree:MasterType:Thesis
Country:ChinaCandidate:L M ZhangFull Text:PDF
GTID:2178360185985607Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
Polarimetric SAR interferometry (PolInSAR) is the technique that integrates radar polarimetry and radar interferometry. The interferometric analysis of a full coherent polarimetric data set enables the combination of final structure properties and spatial information of the targets. PolInSAR is a potential technique that not only improves the accuracy of the interferometric measurements but also allows a more sophisticated physical interpretation of scattering mechanism. With lots of advantages in many areas of military, civil and scientific researches, PolInSAR has extented the applications of SAR remote sensing, and has wide and latent prospective applications and valuable researching aspects.PolInSAR has been used to invert vegetation parameters of terrain surface, especially for height of forest. These parameters are the bases of terrain classification and target detection and recognition. Therefore, terrain surface vegetation parameters inversion using PolInSAR data has been hot research topics in polarimetric interferometry in recent years.Terrain surface vegetation parameters inversion using PolInSAR data based on Genetic Algorithm (GA) is discussed in detail in this dissertation. The main contents include Polarimetric Interferometric Phase Coherence Optimization (PIPCO); Random Volume over Ground (RVoG) coherence scattering model and corresponding inversion model; optimization of inversion procedure using GA.Firstly, this dissertation provides an overview of basic theory of PolSAR, such as representation of polarimetric scattering characters of targets and elementary scattering mechanisms. Then theory of InSAR and all kinds of decorrelation factors are discussed. Furthermore, the principles of vector interferometry and the theory of PIPCO are discussed comprehensively.Secondly, vector coherence scattering models are studied. The study is focused on the RVoG scattering model and corresponding inversion model. The influences upon coherence of all the parameters in the model are discussed.Thirdly, after in-depth discussion of theory of PolInSAR, basic theory of GA used in the inversion procedure is studied. The performaces and processes of...
Keywords/Search Tags:Polarimetirc SAR Interferometry, Polarimetric Interferometric Phase Coherence Optimization (PIPCO), Parameters Inversion, Genetic Algorithm
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