Urban high-resolution remote sensing : algorithms and modeling / Guoqing Zhou.

Includes bibliographical references (pages 197-208) and index.

Part I Introduction. Chapter 1 Introduction. Chapter 2 Urban Remote Sensing and Urban Studies. Chapter 3 Advances of Urban Remote Sensing. Part II Information Extroduction. Chapter 4 Urban 3D Surface Information Extraction from Aerial Image Sequences. Chapter 5 Urban 3D Surface Information Extraction from Linear Pushbroom Stereo Imagery. Chapter 6 Urban 3D Building Extraction Through Lidar and Aerial Imagery. Chapter 7 Urban 3D Building Extraction From Lidar and Orthoimages. Chapter 8 Vehicle Extraction from High Resolution Aerial Image. Chapter 9 Single Tree Canopy Extraction From Lidar Point Cloud Data. Chapter 10 Power Lines Extraction from Aerial Images. Part III Urban Orthophotomap Generation. Chapter 11 The Basic Principle of Urban True Orthophotomap Generation. Chapter 12 Orthomap Creation with Extremely High Buildings. Chapter 13 Near Real-Time Orthophoto Map Generation from UAV Video. Chapter 14 Orthophotomap Generation from Satellite Imagery without Camera Parameters. Chapter 15 Building Occlusion Detection in Urban True Orthophotomap. Part IV Advanced Agorithms Urban Remote Sensing Application. Chapter 16 Hierarchical Spatial Features Learning for Image Classification. Chapter 17 Surface Soil Moisture Retrieval From CBERS-02B Satellite Imagery. Chapter 18 Measuring Control Delay at Signalized Intersections Using GPS and Video Flow. Chapter 19 Measurement of Dry Asphalt Road Surface Friction Using Hyperspectral Images

"With urbanization as a global phenomenon, there is a need for data and information about these terrains. Urban remote sensing techniques provide critical physical input and intelligence for preparing base maps, formulating planning proposals, and monitoring implementations. Likewise these methodologies help with understanding the biophysical properties, patterns, and process of urban landscapes, as well as mapping and monitoring urban land cover and spatial extent. Advanced sensor technologies and image processing methodologies such as deep learning, data mining, etc., facilitate the wide applications of remote sensing technology in urban areas. This book presents advanced image processing methods and algorithms focused on three very important roots of urban remote sensing: 3D urban modelling using different remotely sensed data, urban orthophotomap generation, and urban feature extraction, which are also today's real challenges in high resolution remote sensing. Data generated by remote sensing, with its repetitive and synoptic viewing and multispectral capabilities, constitutes a powerful tool for mapping and monitoring emerging changes in the city's urban core, as well as in peripheral areas. Features: Provides advances in emerging methods and algorithms in image processing and technology Uses algorithms and methodologies for handling high-resolution imagery from a ground sampling distance (GSD) less than 1.0 meter Focuses on 3D urban modelling, orthorectification methodologies, and urban feature extraction algorithms from high-resolution remotely sensed imagery Demonstrates how to apply up-to-date techniques to the problems identified and how to analyze research results Presents methods and algorithms for monitoring, analyzing, and modeling urban growth, urban planning, and socio-economic developments In this book, readers are provided with valuable research studies and applications-oriented chapters in areas such as urban trees, soil moisture mapping, city transportation, urban remote sensing big data, etc."--