Urban Remote Sensing, Second Edition

✍ Scribed by Gamba, Paolo E.; Quattrochi, Dale; Weng, Qihao

• Publisher: Taylor and Francis;CRC Press
• Year: 2018
• Tongue: English
• Leaves: 338
• Series: Remote Sensing Applications Series
• Edition: 2nd ed
• Category: Library

✦ Synopsis

Earth observation technology, in conjunction with in situ data collection, can be used to observe, monitor, measure, and model many of the components that comprise urban ecosystems cycles. Over the past decade, urban remote sensing has rapidly emerged as a new frontier in the Earth observation technology by focusing primarily on understanding the biophysical properties, patterns, and processes of urban landscapes, and mapping and monitoring of urban land cover and spatial extent. The second edition reflects new developments in satellite sensors, image processing methods and techniques, and the applications of urban remote sensing to meet societal and economic challenges at this time.

✦ Table of Contents

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