1 Urban Spatio-Temporal-Spectral-Angular
Observation Model
Urban Remote Sensing Observation Demand
The Observation Objects of Urban Remote Sensing
The Demand for Urban Application Services for Remote
Sensing Platform
The Demand for Sensor Diversity in Urban
Remote Sensing
Remote Sensing Platform for Various Urban Applications
Multi-platform Multi-sensor Collaborative Network Observation
Mode of Space-Air-Ground for Urban Service Demand
Theoretical Model of Urban Spatio-Temporal-Spectral-Angular
Observation
Urban Remote Sensing Observation Services
Questions
References
2 Big Data Characteristics of Urban Remote Sensing
Multi-source Heterogeneous Remote Sensing Big Data with
Long Time Series
Urban Satellite Imagery
Urban Aerial Imagery
Urban UAV Imagery
Urban Mobile Mapping System
Urban Crowdsourcing Images
Data Characteristics of Urban Visible Panchromatic Remote
Sensing Imagery
Image Characteristics of Urban Houses
Image Characteristics of Urban Roads
Image Characteristics of Urban Green Space
Image Characteristics of Urban Water Bodies
Data Characteristics of Urban Multi-spectral Remote
Sensing Images
Data Characteristics of Urban Green Space
Data Characteristics of Urban Water Bodies
Data Characteristics of Urban Hyperspectral Imagery
Data Characteristics of Urban Thermal Infrared Images
Data Characteristics of Urban Microwave Remote
Sensing Images
Data Characteristics of Urban LiDAR Data
Data Characteristics of Urban Nighttime Light Remote
Sensing Imagery
Data Characteristics of Urban Crowdsourcing Images
Questions
References
3 Principles and Methods of Urban Remote Sensing
Image Interpretation
The Task of Urban Remote Sensing Imagery Interpretation
The Objects of Urban Remote Sensing Imagery
Interpretation
Image Spatial Interpretation
Interpretation of Spectrum Space
Interpretation of Feature Space
The Mechanism of Urban Remote Sensing Imagery
Interpretation
Direct Interpretation Signs
Indirect Interpretation Signs
Methods of Urban Remote Sensing Imagery Interpretation
Visual Interpretation
Semi-automatic Interpretation
Automatic Interpretation Based on Machine Learning
Automatic Interpretation Based on Deep Learning
Interpretation of Remote Sensing Big Data
Questions
References
4 Preprocessing Methods of Urban Remote
Sensing Imagery
Cloud Detection Methods for Urban Remote
Sensing Imagery
Shadow Detection Methods for Urban Remote
Sensing Imagery
Image Enhancement Methods for Urban Remote
Sensing Imagery
Super-resolution Reconstruction Methods for
Urban Remote Sensing Imagery
Fusion Demands of Urban Remote Sensing Imagery
Spatial-Spectral Fusion Methods
Spatio-Temporal Fusion Methods
Questions
References
5 Classification and Information Extraction Methods for
Urban Remote Sensing Imagery
Classification and Information Extraction Demands for
Urban Remote Sensing Imagery
Unsupervised Classification Methods for Urban Remote
Sensing Imagery
Supervised Classification Methods for Urban Remote
Sensing Imagery
New Classification Methods for Urban Remote
Sensing Imagery
Urban Road Extraction Methods Based on Remote
Sensing Imagery
Automatic Extraction Method of Urban Roads
Road Rxtraction Method Based on Deep Learning Models
Urban Building Extraction Methods Based on
Remote Sensing Imagery
Urban Lakes Extraction Methods Based on
Remote Sensing Imagery
Questions
References
6 Urban 3D Reconstruction Methods Based on
Multi-source High-resolution Remote Sensing Imagery
Urban 3D Reconstruction Demands
Urban 3D Reconstruction Based on Stereo Image Pair
3D Reconstruction Based on Onboard LiDAR
3D Reconstruction Based on Mobile Mapping Systems
3D Reconstruction of Urban Ancient Buildings Based on
Ground LiDAR
Texture Reconstruction of Urban 3D Model
Urban 3D Reconstruction Based on Street View Data
3D Modeling Technology Based on Integrated Aerial-Ground
Panoramic Imagery from Indoor and Outdoor
Quality Control Strategy for 3D Reconstruction of
the Urban Scene
3D Reconstruction Management Platform of
the Urban Scene
The Planning and Construction Practice of Real Scene 3D
in China
Questions
References
7 Change Detection Methods and Applications of
Urban Remote Sensing
Change Detection Demands of Urban Remote Sensing
Urban Construction Monitoring Demands
Urban Management Monitoring Needs
Change Detection Process of Urban Remote Sensing –
Change Detection Methods of Urban Remote Sensing
2D Change Detection Methods
3D Change Detection Methods
Change Detection Practice of Urban Remote Sensing
Urban Land Cover/Use Change Detection Methods
Urban Impervious Surface Change Detection Methods
Urban Cultivated Land Change Detection Methods
Questions
References
8 Dynamic Monitoring Methods and Applications through
Urban Remote Sensing
Demands of Dynamic Urban Monitoring
Urban Dynamic Monitoring Process
Urban Dynamic Monitoring Methods
Urban Dynamic Monitoring Based on Time-Series Remote
Sensing Imagery
Urban Dynamic Monitoring Based on the Integration of
Earth Observation Sensor Network
Remote Sensing Monitoring Applications of
Urban Natural Resources
Remote Sensing Monitoring of Urban Lake Changes
Remote Sensing Monitoring of Urban Impervious Surface
Remote Sensing Monitoring of Urban Cultivated Land
Remote Sensing Monitoring of Urban Planning
Remote Sensing Monitoring of Urban Conditions
Difficulties of Remote Sensing Monitoring of
Urban Situations
Urban Area Extraction Method Based on
Progressive Learning Models
Remote Sensing Monitoring of Urban Geological Hazards
Questions
References
9 Remote Sensing Monitoring Technology and Practice of
Urban Ecological Environment
Remote Sensing Monitoring Demands of
Urban Ecological Environment
The Concept of Urban Heat Island and the Remote Sensing
Monitoring Demands of the Urban Thermal Environment
Application Demands for Remote Sensing Inversion of
Urban Aboveground Biomass
Remote Sensing Monitoring Methods and Practice of
Urban Heat Island Effect
Remote Sensing Inversion and Application of
Urban Aboveground Biomass
Innovative Models and Methods in Remote Sensing Quantitative
Monitoring of Cyanobacteria from Urban Lakes with
Eutrophication
Questions
References
10 Prospects of Urban Remote Sensing Technologies and
Applications
The Developing Directions of Urban Remote
Sensing Sensors
New Application Fields of Urban Remote Sensing
The Future Directions of Urban Remote Sensing
Questions
References
Index