Radar Remote Sensing of Urban Areas by Uwe SoergelRadar Remote Sensing of Urban Areas by Uwe Soergel

Radar Remote Sensing of Urban Areas

EditorUwe Soergel

Paperback | May 5, 2012

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This book presents a unique collection of state-of-the-art contributions by international remote sensing experts focussing on methodologies to extract information about urban areas from Synthetic Aperture Radar (SAR) data. SAR is an active remote sensing technique capable to gather data independently from sun light and weather conditions. Emphasizing technical and geometrical issues the potential and limits of SAR are addressed in focussed case studies, for example, the detection of buildings and roads, traffic monitoring, surface deformation monitoring, and urban change. These studies can be sorted into two groups: the mapping of the current urban state and the monitoring of change. The former covers, for instance, methodologies for the detection and reconstruction of individual buildings and road networks; the latter, for example, surface deformation monitoring and urban change. This includes also investigations related to the benefit of SAR Interferometry, which is useful to determine either digital elevation models and surface deformation or the radial velocity of objects (e.g. cars), and the Polarization of the signal that comprises valuable information about the type of soil and object geometry. Furthermore, the features of modern satellite and airborne sensor devices which provide high-spatial resolution of the urban scene are discussed.
Title:Radar Remote Sensing of Urban AreasFormat:PaperbackDimensions:294 pages, 9.25 × 6.1 × 0.68 inPublished:May 5, 2012Publisher:Springer NetherlandsLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9400731728

ISBN - 13:9789400731721

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Table of Contents

1 Review of Radar Remote Sensing on Urban AreasUwe Soergel1.1 Introduction1.2 Basics1.3 2d Approaches1.4 3d Approaches1.5 Surface Motion1.6 Moving Object DetectionReferences2 Rapid Mapping Using Airborne and Satellite SAR ImagesFabio Dell'Acqua and Paolo Gamba2.1 Introduction2.2 An Example Procedure2.3 Examples on Real Data2.4 ConclusionsReferences3 Feature Fusion Based on Bayesian Network Theory for Automatic Road ExtractionUwe Stilla and Karin Hedman3.1 Introduction3.2 Bayesian Network Theory 3.3 Structure of a Bayesian Network3.4 Experiments 3.5 Discussion and ConclusionReferences4 Traffic Data Collection with TerraSAR-X and Performance EvaluationStefan Hinz, Steffen Suchandt, Diana Weihing, and Franz Kurz4.1 Motivation4.2 SAR Imaging of Stationary and Moving Objects 4.3 Detection of Moving Vehicles4.4 Matching Moving Vehicles in SAR and Optical Data4.5 Assessment4.6 Summary and ConclusionReferences5 Object Recognition from Polarimetric SAR ImagesRonny H¨ansch and Olaf Hellwich5.1 Introduction5.2 SAR Polarimetry5.3 Features and Operators5.4 Object Recognition in PolSAR Data5.5 Concluding RemarksReferences6 Fusion of Optical and SAR ImagesFlorence Tupin6.1 Introduction6.2 Comparison of Optical and SAR Sensors6.3 SAR and Optical Data Registration6.4 Fusion of SAR and Optical Data for Classification6.5 Joint Use of SAR Interferometry and Optical Data for 3D Reconstruction6.6 ConclusionReferences7 Estimation of Urban DSM from Mono-aspect InSAR ImagesCeline Tison and Florence Tupin7.1 Introduction7.2 Review of Existing Methods for Urban DSM Estimation7.3 Image Quality Requirements for Accurate DSM Estimation7.4 DSM Estimation Based on a Markovian Framework7.5 ConclusionReferences8 Building Reconstruction from Multi-aspect InSAR DataAntje Thiele, Jan Dirk Wegner, and Uwe Soergel8.1 Introduction8.2 State-of-the-Art 8.3 Signature of Buildings in High-Resolution InSAR Data8.4 Building Reconstruction Approach8.5 Results8.6 ConclusionReferences9 SAR Simulation of Urban Areas: Techniques and ApplicationsTimo Balz9.1 Introduction9.2 Synthetic Aperture Radar Simulation Development and Classification9.3 Techniques of SAR Simulation9.4 3D Models as Input Data for SAR Simulations9.5 Applications of SAR Simulations in Urban Areas9.6 ConclusionsReferences10 Urban Applications of Persistent Scatterer Interferometry Michele Crosetto, Oriol Monserrat, and Gerardo Herrera10.1 Introduction10.2 PSI Advantages and Open Technical Issues10.3 Urban Application Review10.4 PSI Urban Applications: Validation Review10.5 ConclusionsReferences11 Airborne Remote Sensing at MillimeterWave FrequenciesHelmut Essen11.1 Introduction11.2 Boundary Conditions for Millimeter Wave SAR11.3 The MEMPHIS Radar11.4 Millimeter Wave SAR Processing for MEMPHIS DataReferencesIndex