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极化干涉SAR图像森林高度估计算法研究

Abstract第4-5页
摘要第6-15页
Chapter 1 Introduction第15-31页
    1.1 Research Background, object and significance of the subject第15-17页
    1.2 Current research status and analysis in China and Abroad第17-28页
        1.2.1 Forest height inventories and remote sensing第17-20页
        1.2.2 Forest height estimation from radar backscatter and coherence第20-22页
        1.2.3 Forest height estimation from PolInSAR第22-28页
            1.2.3.1 Development of forest height estimation using target decomposition technique for PolInSAR data第23-24页
            1.2.3.2 Development of vegetation parameter inversion technique第24-28页
    1.3 Thesis Organization and Contribution第28-31页
Chapter 2 Fundamentals of Polarimetric Target Decomposition Techniques andPolInSAR第31-61页
    2.1 Introduction第31页
    2.2 Polarimetric characteristics of target第31-36页
        2.2.1 Target scattering vector第33-35页
        2.2.2 Coherence matrix and covariance matrix第35-36页
    2.3 Polarimetric target decomposition第36-45页
        2.3.1 Freeman-Durden three component decomposition第37-40页
        2.3.2 Yamaguchi four component decomposition第40-42页
        2.3.3 Freeman two component decomposition第42-43页
        2.3.4 Multiple-component decomposition第43-45页
    2.4 Radar interferometry第45-49页
    2.5 Polarimetric interferometric SAR第49-54页
        2.5.1 Formulation of polarimetric SAR interferometry第49-51页
        2.5.2 Coherence optimization第51-52页
        2.5.3 Relating coherence to physical structure parameter第52-54页
    2.6 The random volume over ground model (RVoG)第54-59页
        2.6.1 Modeling forest as a random volume over ground第54-58页
            2.6.1.1 Uniform scattering profile in height第54-55页
            2.6.1.2 Extincted scattering profile第55-57页
            2.6.1.3 Uniform scattering profile with ground-volume over ground第57-58页
        2.6.2 PolInSAR and RVoG model第58-59页
    2.7 Chapter summary第59-61页
Chapter 3 Accuracy Improvement of Forest Height Estimation from PolInSARImage using Hybrid Method第61-81页
    3.1 Introduction第61-62页
    3.2 Forest height estimation using three-stage inversion process第62-67页
    3.3 Forest height estimation based on hybrid method第67-80页
        3.3.1 Underlying ground topography phase estimation using total least squares line fit model第68-70页
        3.3.2 ESPRIT algorithm第70-72页
        3.3.3 Forest height estimation using hybrid method with compensate第72-75页
            3.3.3.1 A hybrid method for forest height estimation第72-73页
            3.3.3.2 Forest height estimation from coherence amplitude only第73-74页
            3.3.3.3 Forest height estimation from proposed method第74-75页
        3.3.4 Experimental results and discussion第75-80页
            3.3.4.1 Simulated PolInSAR data第75-78页
            3.3.4.2 Space borne PolInSAR data第78-80页
    3.4 Chapter Summary第80-81页
Chapter 4 Forest Height Estimation using Target Decomposition Techniques fromPolInSAR Image第81-117页
    4.1 Introduction第81-82页
    4.2 Forest height estimation from PolInSAR using adaptive model-baseddecomposition (AMBD) technique第82-98页
        4.2.1 Elementary scattering mechanisms for PolInSAR data第83-88页
            4.2.1.1 Single bounce scattering model第84-85页
            4.2.1.2 Double bounce scattering model第85-87页
            4.2.1.3 General volume scattering model第87-88页
        4.2.2 Adaptive model based decomposition technique for forest height estimation第88-92页
        4.2.3 Experimental Results and Discussion第92-98页
            4.2.3.1 Simulated data第92-96页
            4.2.3.2 Space borne PolInSAR data第96-98页
    4.3 A General three-layer scattering model (GTLSM) for forest height estimation usingPolInSAR data第98-115页
        4.3.1 General three-layer scattering model (GTLSM)第99-103页
        4.3.2 Forest height estimation based on GTLSM第103-110页
            4.3.2.1 Canopy phase estimation using adaptive model-based decomposition for PolInSAR data第103-106页
            4.3.2.2 Underlying Ground Phase and Forest Height Estimation第106-110页
        4.3.3 Experimental results and discussion第110-115页
            4.3.3.1 Simulated data第110-112页
            4.3.3.2 Space borne data第112-115页
    4.4 Chapter summary第115-117页
Chapter 5 Forest Height Estimation over Sloping Forest Areas第117-151页
    5.1 Introduction第117-119页
    5.2 A General Model-based Decomposition (GMBD) Technique for Forest HeightEstimation over Sloping Forest Area using PolInSAR Data第119-134页
        5.2.1 General scattering model in sloping forest area第119-123页
            5.2.1.1 Polarimetric interferometric coherence matrix over slope terrain第119-120页
            5.2.1.2 Single bounce contribution from sloping surface第120-121页
            5.2.1.3 Double bounce contribution from sloping surface第121-123页
            5.2.1.4 General volume scattering model第123页
        5.2.2 Forest height estimation over sloping forest area based on GMBD第123-127页
        5.2.3 Experimental result and analysis第127-134页
            5.2.3.1 Simulated PolInSAR data第127-129页
            5.2.3.2 Spaceborne PolInSAR data第129-134页
    5.3 A Modified Three-Layer Scattering Model for Forest Height Estimation overSloping Forest Area using PolInSAR Data第134-150页
        5.3.1 Modified three-layer scattering model (MTLSM)第134-138页
        5.3.2 Forest height estimation based on MTLSM第138-144页
            5.3.2.1 Canopy phase estimation from PolInSAR data using the MAMD第138-141页
            5.3.2.2 Parameters of ground and tree trunk layer estimated from single baseline PolInSAR data第141-144页
        5.3.3 Experimental results and analysis第144-150页
            5.3.3.1 Simulated PolInSAR data第144-145页
            5.3.3.2 Spaceborne PolInSAR data第145-150页
    5.4 Chapter Summary第150-151页
Conclusion第151-154页
结论第154-156页
APPENDIX: Volume Scattering Contribution第156-160页
References第160-174页
List of Publications第174-177页
Acknowledgement第177-178页
Curriculum Vitae第178页

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