Urban Remote Sensing, Second Edition

Content: Cover
 Half Title
 Title Page
 Copyright Page
 Table of Contents
 Preface
 Earth Observation for a Sustainable Earth
 Addressing the Needs in Developing Countries
 Synopsis of the Book
 Acknowledgments
 References
 Editors
 Contributors
 Section I : Data, Sensors, and Systems Considerations and Algorithms for Urban Feature Extraction
 Chapter 1: The Global Urban Footprint
 1.1 Introduction
 1.2 Generating the GUF
 1.2.1 Global Urban Mapping Using Earth Observation
 1.2.2 From TanDEM-X Imagery to GUF
 1.2.2.1 Feature Extraction
 1.2.2.2 Unsupervised Classification
 1.2.2.3 Mosaicking 1.2.2.4 Automated Postprocessing1.3 The GUF Data Set
 1.4 Analyzing Urban Footprints
 1.5 Summary and Outlook
 Acknowledgments
 References
 Chapter 2: Development of On-Demand Human Settlement Mapping System Using Historical Satellite Archives
 2.1 Introduction
 2.2 Methodology of Automated Time-Series Human Settlement Mapping
 2.2.1 Introduction
 2.2.2 Learning with Local and Global Consistency
 2.2.3 Composition of LLGC Results
 2.3 Experimental Implementations of Time-Series Mapping System
 2.3.1 Data and Processing
 2.3.2 System Implementation
 2.3.3 Experiment Results and Discussions 2.4 Development of On-Demand System2.4.1 Web-Based Mapping and Data Processing Standards
 2.4.2 Implementation of On-Demand Data Processing Service
 2.5 Conclusions
 Acknowledgments
 References
 Chapter 3: Morphological Building Index (MBI) and Its Applications to Urban Areas
 3.1 Introduction
 3.2 The Original MBI
 3.3 Morphological Building/Shadow Index
 3.4 Enhanced Building Index
 3.5 Applications of MBI
 3.5.1 Building Extraction
 3.5.2 Change Detection
 3.5.3 Image Classification
 3.5.4 Urban Environment
 3.6 Conclusion
 References Section II : Assessing and Modeling Urban Landscape Compositions, Patterns, and StructuresChapter 4: Stereo-Based Building Roof Mapping in Urban Off-Nadir VHR Satellite Images: Challenges and Solutions
 4.1 Introduction
 4.2 Principle of Stereo-Based Building Detection
 4.2.1 Stereo Image Processing
 4.2.1.1 Stereo-Based Information Generation
 4.2.1.2 Stereo-Based Information Co-Registration
 4.2.1.3 Stereo-Based Information Normalization
 4.2.2 Building Detection
 4.2.2.1 Image Fusion and Segmentation
 4.2.2.2 Vegetation Suppression
 4.2.2.3 Building Detection and Finishing 4.2.2.4 Map Geo-Referencing4.2.3 Performance Evaluation
 4.3 Identified Challenges
 4.3.1 Efficient Image-Elevation Co-Registration
 4.3.2 Disparity Gaps and Normalization
 4.3.3 Direct Map Geo-Referencing
 4.4 Developed Solutions
 4.4.1 Line-of-Sight DSM Solution
 4.4.2 Registration-Based Mapping of the Aboveground Disparities
 4.4.3 Disparity-Based Elevation Co-Registration
 4.4.3.1 Image Projection and Rectification
 4.4.3.2 Scale-Based Formulas Derivation
 4.4.3.3 Applying the Derived Formulas
 4.5 Experimental Results and Analysis
 4.5.1 Data Sets