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Synthetic Aperture Radar for Surface Motion Estimation


作者:
Timo Balz
定价:
139.00元
ISBN:
978-7-04-063620-8
版面字数:
220.00千字
开本:
特殊
全书页数:
暂无
装帧形式:
精装
重点项目:
暂无
出版时间:
2025-01-16
物料号:
63620-00
读者对象:
学术著作
一级分类:
自然科学
二级分类:
地球科学
三级分类:
测绘科学技术

本书主要讲解了利用星载雷达图像测量地表高程和形变的方法及其相应原理,包括利用雷达干涉测量(InSAR)生成DEM和测量地表形变、时序InSAR方法(PSInSAR、STUN、PSP、StaMPS、SBAS、QPS、SqueeSAR)、像元偏移量追踪以及SAR绝对定位技术,并给出了示例。着重对InSAR、时序InSAR方法的每个步骤都进行了清晰的介绍。此外,书中以船舶检测为例,生动介绍了雷达的成像原理及其目标的散射特性,为理解基于雷达的测量方法提供了知识基础。

本书可供遥感、测绘、地理信息及相关交叉领域的高校师生和科研人员参考。

  • 前辅文
  • Part I SAR Basics
    • Chapter 1 History of Radar Remote Sensing
    • Chapter 2 Introduction to Synthetic Aperture Radar
      • 2.1 Technical Considerations for A Ship Detection Remote Sensing System
        • 2.1.1 Electromagnetic Spectrum
        • 2.1.2 Microwave Scattering Behavior
      • 2.2 The Relation Between Ship Size and Radar Backscattering
        • 2.2.1 Radar Equation
        • 2.2.2 Controlling the Radar Backscattering of Ships
        • 2.2.3 Example for the Required Specifications to Detect Ships with A Radar Remote Sensing System
      • 2.3 Distinguishing Different Ships with A Radar Remote Sensing System
        • 2.3.1 Radar Resolution
        • 2.3.2 Side-looking Airborne Radar Systems
        • 2.3.3 Synthetic Aperture Radar Systems
      • 2.4 Establishing A Target’s Position with SAR
        • 2.4.1 SAR Geometry in Range Direction
        • 2.4.2 Geometrical Model of SAR Positioning
        • 2.4.3 Geometrical Distortions in SAR Imaging
      • 2.5 Speckle Effect
        • 2.5.1 Speckle Statistics and Multi-Looking
        • 2.5.2 Speckle Filtering
      • 2.6 SAR Satellite System for Ship Detection
        • 2.6.1 Signal-to-Noise Ratio
        • 2.6.2 Pulse Repetition Frequency
        • 2.6.3 Satellite Orbits and Repeat Time
        • 2.6.4 SAR Acquisition Modes
      • 2.7 SAR Polarimetry
      • 2.8 Conclusions on the Developed SAR System for Ship Detection
  • Part II DEM Generation
    • Chapter 3 SAR Interferometry
      • 3.1 Introduction into SAR Interferometry
        • 3.1.1 Amplitude and Phase Components of SAR Images
        • 3.1.2 Phase Differences As Basis for Height Determination
      • 3.2 SAR Interferometry Processing Steps
        • 3.2.1 SAR Data Selection—Considerations for SAR Interferometry
        • 3.2.2 SAR Co-registration
        • 3.2.3 Coarse-to-Fine Co-registration
        • 3.2.4 Orbit and DEM-based Co-registration
        • 3.2.5 Interferogram Generation
        • 3.2.6 Flat-Earth Phase Removal
        • 3.2.7 Height of Ambiguity
        • 3.2.8 Topographic Phase Removal
        • 3.2.9 Coherence Estimation
        • 3.2.10 Phase Unwrapping
        • 3.2.11 DSM Generation
      • 3.3 SAR Interferometry with Spotlight and TOPS Images
      • 3.4 Error Sources
        • 3.4.1 Loss of Coherence
        • 3.4.2 Temporal Decorrelation
        • 3.4.3 Atmospheric Delay
        • 3.4.4 Orbit Errors
      • 3.5 Conclusions
    • Chapter 4 StereoSAR
      • 4.1 Introduction to Stereo-Radargrammetry
      • 4.2 Finding Homologous Points
      • 4.3 Deriving Relative Height Information
      • 4.4 DSM Generation
      • 4.5 Deriving Absolute Height Information
      • 4.6 Example Application of StereoSAR at Mount Song
      • 4.7 Conclusions
  • Part III Surface Motion
    • Chapter 5 Differential SAR Interferometry
      • 5.1 Two-pass D-InSAR
      • 5.2 Three-pass D-InSAR
      • 5.3 Interpretation of Wrapped Differential Interferograms
      • 5.4 Measurement with Unwrapped Differential Interferograms
      • 5.5 Example: Coseismic Interferometry for the Bam Earthquake
        • 5.5.1 Two-pass D-InSAR Example
        • 5.5.2 Three-pass D-InSAR Example
      • 5.6 Conclusions
    • Chapter 6 Permanent Scatterer Interferometry
      • 6.1 Identifying the Permanent Scatterers
      • 6.2 Pre-processing Steps
      • 6.3 Generation of A PS Network
      • 6.4 Estimation of the Atmospheric Phase Screen
        • 6.4.1 Estimating Topographic Height Error and Velocity
        • 6.4.2 Unwrapping Along the Edges
        • 6.4.3 APS Estimation
      • 6.5 Velocity and Residual Height Estimation for All PS
      • 6.6 Including Alternative Motion Models
      • 6.7 Temporal Coherence
      • 6.8 Example
    • Chapter 7 Alternative Approaches to PSI
      • 7.1 Spatio-Temporal Unwrapping Network
        • 7.1.1 Point Selection in STUN
        • 7.1.2 Sparse Network Creation
        • 7.1.3 Solving the Equations with LAMBDA
        • 7.1.4 Densifying the Network
        • 7.1.5 Example
      • 7.2 Persistent Scatterer Pair Interferometry
      • 7.3 Stanford Method of Persistent Scatterers
        • 7.3.1 Persistent Scatterer Selection in StaMPS
        • 7.3.2 3D Phase Unwrapping
        • 7.3.3 Spatially Correlated Terms
    • Chapter 8 Distributed Scatterer Interferometry
      • 8.1 Small Baseline Subset Technique
      • 8.2 Quasi-Persistent Scatter Technique
      • 8.3 SqueeSAR
    • Chapter 9 Pixel Tracking and Point Target Offset Tracking
      • 9.1 Pixel Tracking
      • 9.2 Point-Target Offset Tracking
    • Chapter 10 Motion from SAR Geodesy
      • 10.1 Positioning in SAR Images
      • 10.2 Factors Influencing the Positioning
        • 10.2.1 Static Influencing Factors
        • 10.2.2 Dynamic Influencing Factors
        • 10.2.3 Sub-Pixel Positioning Precision
      • 10.3 Absolute 3D Positioning Using Stereo Configuration
      • 10.4 Absolute Methods versus Relative Methods
      • 10.5 Motion from SAR Geodesy
      • 10.6 SAR Geodesy in Practice
        • 10.6.1 Finding Suitable Points
        • 10.6.2 Correction for Geodynamical Effects
        • 10.6.3 Correction for Dynamic Atmospheric Effects
  • Bibliography
  • Index

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