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Summary
Summary
This book explains the fundamentals and intricacies of telegeoinformatics. The book is divided into three parts: Theories and Technologies; Integrated Data and Technologies; and Applications. These sections are divided into smaller contributed chapters, each of which addresses a topic crucial to the understanding of telegeoinformatics. This volume covers the concepts and technologies related to GIS and geoprocessing, remote sensing, the GPS, and wireless systems. It also explores the main issues of integrated data and technologies in LBC, LBS, mediated reality, and mobile augmented reality systems. The final part discusses applications of telegeoinformatics in emergency response, mobile inspection data collection, and ITS.
Reviews 1
Choice Review
Telegeoinformatics is a new field that focuses on the theory and applications of integrated telecommunications, geoinformatics, and mobile computing technologies. In telegeoinformatics, different geoinformatics such as geographic information systems (GIS) and global positioning systems (GPS) are used in a distributed mobile computing environment where mobile computers are linked through a wireless network to facilitate location-based computing (LBC) and location-based services (LBSs). In this handbook, edited by Karimi (Univ. of Pittsburgh) and Hammand (Concordia Univ., Montreal), the fundamentals of telegeoinformatics are explained in three sections: "Theories and Technologies," "Integrated Data and Technologies," and "Applications." The chapters can be read in any order, depending on one's interest and expertise. A good index and extensive cross referencing between chapters aid readers in the transitioning from subject to subject and chapter to chapter. This important and unique book will certainly further the understanding of and the application of telegeoinformatics in different environments such as urban planning, emergency response, real time tracking, wireless communication, and the exciting new research in augmented reality. A very readable book. ^BSumming Up: Recommended. Upper-division undergraduates through professionals. W. Weston University of New Orleans
Table of Contents
Preface | p. xi |
Part 1 Theories and Technologies | |
Chapter 1 Telegeoinformatics: Current Trends and Future Direction | |
1.1 Introduction | p. 3 |
1.2 Architecture | p. 5 |
1.3 Internet-Based GIS | p. 7 |
1.4 Spatial Databases | p. 17 |
1.5 Intelligent Query Analyzer (IQA) | p. 18 |
1.6 Predictive Computing | p. 20 |
1.7 Adaptation | p. 21 |
1.8 Final Remarks | p. 24 |
References | p. 24 |
Chapter 2 Remote Sensing | |
2.1 Introductory Concepts | p. 27 |
2.1.1 What is Remote Sensing? | p. 27 |
2.1.2 The Evolution of Remote Sensing | p. 29 |
2.1.3 Electromagnetic Radiation Principles in Remote Sensing | p. 29 |
2.2 Remote Sensing Systems | p. 30 |
2.3 Imaging Characteristics of Remote Sensing Systems | p. 31 |
2.3.1 Spatial Resolution | p. 31 |
2.3.2 Spectral Resolution | p. 34 |
2.3.3 Radiometric Resolution | p. 34 |
2.3.4 Temporal Resolution | p. 35 |
2.4 Active Microwave Remote Sensing | p. 35 |
2.4.1 What is Radar and IFSAR? | p. 35 |
2.4.2 Introduction to SAR | p. 36 |
2.4.3 Interferometric Synthetic Aperture Radar (IFSAR) | p. 37 |
2.4.4 LIDAR | p. 40 |
2.5 Extraction of Thematic Information from Remotely Sensed Imagery | p. 41 |
2.5.1 Visual Image Interpretation | p. 41 |
2.5.2 Digital Image Classification | p. 42 |
2.5.3 Image Classification Approaches | p. 43 |
2.5.3.1 Supervised Classification | p. 44 |
2.5.3.2 Unsupervised Classification | p. 47 |
2.5.3.3 Hybrid Classification | p. 48 |
2.5.4 Accuracy Assessment | p. 49 |
2.5.5 Change Detection | p. 50 |
2.6 Extraction of Metric Information from Remotely Sensed Imagery | p. 51 |
2.6.1 Fundamentals of Photogrammetry | p. 51 |
2.6.2 Photogrammetric Processing of Multiple Photographs | p. 53 |
2.6.3 Softcopy Photogrammetry | p. 56 |
2.6.3.1 Softcopy and Analytical Photogrammetry: a Comparison | p. 57 |
2.6.3.2 Image Sources | p. 57 |
2.6.3.3 Measurement System | p. 58 |
2.6.3.4 Interior Orientation Comparison | p. 59 |
2.6.3.5 Relative Orientation | p. 59 |
2.6.3.6 Absolute Orientation | p. 60 |
2.6.3.7 Exterior Orientation | p. 60 |
2.6.3.8 Restitution | p. 60 |
2.6.3.9 Orthophoto Generation | p. 61 |
2.6.4 Direct Georeferencing | p. 61 |
2.6.5 Photogrammetric Processing of Satellite Imagery | p. 63 |
2.7 Remote Sensing in Telegeoinformatics | p. 64 |
2.7.1 Imaging in Telegeoinformatics | p. 64 |
2.7.2 Mobile Mapping Technology and Telegeoinformatics | p. 64 |
References | p. 66 |
Chapter 3 Positioning and Tracking Approaches and Technologies | |
3.1 Introduction | p. 69 |
3.2 Global Positioning System | p. 70 |
3.2.1 Definitions and System Components | p. 70 |
3.2.2 GPS Signal Structure | p. 72 |
3.2.3 GPS Observables and the Error Sources | p. 74 |
3.2.3.1 Systematic Errors | p. 74 |
3.2.3.1.1 Errors Due to Propagation Media | p. 74 |
3.2.3.1.2 Selective Availability (SA) | p. 75 |
3.2.3.2 Mathematical Models of Pseudorange and Carrier Phase | p. 76 |
3.2.4 Positioning with GPS | p. 78 |
3.2.4.1 Point vs. Relative Positioning | p. 80 |
3.2.4.1.1 Point (Absolute) Positioning | p. 80 |
3.2.4.1.2 Relative Positioning | p. 80 |
3.2.4.1.3 DGPS Services | p. 81 |
3.2.4.2 How Accurate is GPS? | p. 83 |
3.2.5 GPS Instrumentation | p. 84 |
3.2.6 GPS Modernization and Other Satellite Systems | p. 85 |
3.3 Positioning Methods Based on Cellular Networks | p. 86 |
3.3.1 Terminal-Centric Positioning Methods | p. 88 |
3.3.2 Network-Centric and Hybrid Positioning Methods | p. 90 |
3.3.3 GSM and UMTS Ranging Accuracy | p. 94 |
3.4 Other Positioning and Tracking Techniques: An Overview | p. 97 |
3.4.1 Inertial and Dead Reckoning Systems | p. 97 |
3.4.1.1 What Are the Errors in Inertial Navigation? | p. 99 |
3.4.2 Digital Compass | p. 99 |
3.4.3 Additional Location Tracking Systems | p. 99 |
3.4.3.1 Acoustic (Ultrasonic) Tracking | p. 100 |
3.4.3.2 Magnetic Tracking | p. 100 |
3.4.3.3 Optical Tracking | p. 101 |
3.4.3.4 Pseudolite Tracking | p. 102 |
3.5 Hybrid Systems | p. 104 |
3.6 Summary | p. 106 |
References | p. 106 |
Chapter 4 Wireless Communications | |
4.1 Introduction | p. 111 |
4.2 Overview of Wireless Systems | p. 112 |
4.2.1 Classification of Wireless Networks | p. 112 |
4.2.2 Wireless Network Architectures | p. 115 |
4.2.2.1 Example of a Complex Architecture: GSM | p. 117 |
4.2.2.2 Example of a Simple Architecture: IEEE 802.11 | p. 119 |
4.2.2.3 Example of an Ad Hoc Topology: Bluetooth | p. 120 |
4.2.3 Issues and Challenges in Wireless Networks | p. 121 |
4.3 Radio Propagation and Physical Layer Issues | p. 122 |
4.3.1 Characteristics of the Wireless Medium | p. 123 |
4.3.1.1 Large-Scale Fading | p. 123 |
4.3.1.2 Small-Scale Fading | p. 124 |
4.3.1.3 Telegeoinformatics and Radio Propagation | p. 125 |
4.3.2 Modulation and Coding for Wireless Systems | p. 125 |
4.4 Medium Access in Wireless Networks | p. 126 |
4.4.1 Medium Access Protocols for Wireless Voice Networks | p. 127 |
4.4.2 Medium Access Protocols for Wireless Data Networks | p. 127 |
4.4.2.1 Random Access Protocols | p. 127 |
4.4.2.2 Taking Turns Protocols | p. 129 |
4.4.2.3 Reservation protocols | p. 129 |
4.4.2.4 Impact on Telegeoinformatics | p. 130 |
4.5 Network Planning, Design and Deployment | p. 130 |
4.6 Wireless Network Operations | p. 133 |
4.6.1 Radio Resources Management | p. 133 |
4.6.2 Power Management | p. 134 |
4.6.3 Mobility Management | p. 136 |
4.6.3.1 Location Management | p. 136 |
4.6.3.2 Handoff Management | p. 137 |
4.6.4 Security | p. 138 |
4.7 Conclusions and the Future | p. 140 |
References | p. 140 |
Part 2 Integrated Data and Technologies | |
Chapter 5 Location-Based Computing | |
5.1 Introduction | p. 145 |
5.2 LBC Infrastructure | p. 146 |
5.3 Location-Based Interoperability | p. 147 |
5.3.1 Open Distributed Processing and LBC | p. 148 |
5.3.2 Location Interoperability Protocols | p. 150 |
5.3.2.1 Location Interoperability Forum (LIF) | p. 151 |
5.3.2.2 Wireless Application Protocol (WAP) Location Framework | p. 152 |
5.3.3 Location Specification Languages | p. 153 |
5.3.3.1 Geography Markup Language | p. 153 |
5.3.3.2 Point of Interest Exchange Language | p. 156 |
5.4 Location-Based Data Management | p. 157 |
5.5 Adaptive Location-Based Computing | p. 159 |
5.5.1 Motivating Example | p. 159 |
5.5.2 Metadata Management for Adaptive Location Based Computing | p. 160 |
5.5.3 Pervasive Catalog Infrastructure | p. 161 |
5.5.4 Querying Pervasive Catalog | p. 163 |
5.6 Location-Based Routing as Adaptive LBC | p. 164 |
5.7 Concluding Remarks | p. 167 |
References | p. 168 |
Chapter 6 Location-Based Services | |
6.1 Introduction | p. 171 |
6.2 Types of Location-Based Services | p. 171 |
6.3 What is Unique About Location-Based Services? | p. 172 |
6.3.1 Integration With e-Business Solutions | p. 174 |
6.4 Enabling Technologies | p. 175 |
6.4.1 Spatial Data Management | p. 175 |
6.4.2 Mobile Middleware | p. 177 |
6.4.3 Open Interface Specifications | p. 179 |
6.4.4 Network-Based Service Environment | p. 180 |
6.4.5 Positioning Equipment | p. 181 |
6.5 Market for Location-Based Services | p. 182 |
6.5.1 Location-Based Service Market Players | p. 183 |
6.6 Importance of Architecture and Standards | p. 184 |
6.6.1 Java and Location-Based Services | p. 185 |
6.7 Example Location-Based Services: J-Phone J-Navi (Japan) | p. 186 |
6.8 Conclusions | p. 187 |
References | p. 188 |
Chapter 7 Wearable Tele-Informatic Systems for Personal Imaging | |
7.1 Introduction | p. 189 |
7.2 Humanistic Intelligence as a Basis for Intelligent Image Processing | p. 190 |
7.3 Humanistic Intelligence | p. 191 |
7.4 'WEARCOMP' as a Means of Realizing Humanistic Intelligence | p. 192 |
7.4.1 Basic Principles of WearComp as a Tele-Informatic Device | p. 192 |
7.4.2 The Six Basic Signal Flow Paths of WearComp | p. 194 |
7.5 Where on the Body Should a Visual Tele-Informatic Device be Placed? | p. 195 |
7.6 Telepointer: Wearable Hands-Free Completely Self Contained Visual Augmented Reality Without Headwear and Without any Infrastructural Reliance | p. 196 |
7.6.1 No Need for Headwear or Eyewear if Only Augmenting | p. 196 |
7.6.2 Computer Mediated Collaborative Living (CMCL) | p. 199 |
7.7 Portable Personal Pulse Doppler Radar Vision System | p. 201 |
7.7.1 Radar Vision: Background, Previous Work | p. 202 |
7.7.2 Apparatus, Method, and Experiments | p. 202 |
7.8 When Both the Camera and Display are Headword: Personal Imaging and Mediated Reality | p. 205 |
7.8.1 Some Simple Illustrative Examples | p. 205 |
7.8.2 Deconfigured Eyes: The Invention of the Reality Mediator | p. 207 |
7.8.3 Personal Cyborg Logs (glogs) as a Tool for Photojournalists and Reporters | p. 208 |
7.9 Personal Imaging for Location-Based Services | p. 209 |
7.9.1 VideoOrbits Head Tracker | p. 209 |
7.10 Reality Window Manager (RWM) | p. 212 |
7.10.1 A Simple Example of RWM | p. 213 |
7.10.2 The Wearable Face Recognizer as an Example of a Reality User Interface | p. 214 |
7.11 Personal Telegeoinformatics: Blocking Spam with a Photonic Filter | p. 215 |
7.12 Conclusion | p. 216 |
References | p. 219 |
Chapter 8 Mobile Augmented Reality | |
8.1 Introduction | p. 221 |
8.1.1 Definition | p. 221 |
8.1.2 Historical Overview | p. 222 |
8.1.3 Mobile AR Systems | p. 224 |
8.2 MARS: Promises, Applications, and Challenges | p. 225 |
8.2.1 Applications | p. 226 |
8.2.2 Challenges | p. 232 |
8.3 Components and Requirements | p. 233 |
8.3.1 Mobile Computing Platforms | p. 233 |
8.3.2 Displays for Mobile AR | p. 235 |
8.3.3 Tracking and Registration | p. 239 |
8.3.4 Environmental Modeling | p. 243 |
8.3.5 Wearable Input and Interaction Technologies | p. 245 |
8.3.6 Wireless Communication and Data Storage Technologies | p. 248 |
8.3.7 Summary: A Top-of-the-line MARS Research Platform | p. 249 |
8.4 MARS UI Concepts | p. 250 |
8.4.1 Information Display and Interaction Techniques | p. 251 |
8.4.2 Properties of MARS UIs | p. 253 |
8.4.3 UI Management | p. 254 |
8.5 Conclusions | p. 255 |
8.6 Acknowledgements | p. 255 |
References | p. 256 |
Part 3 Applications | |
Chapter 9 Emergency Response Systems | |
9.1 Overview of Emergency Response Systems | p. 263 |
9.1.1 General Aspects | p. 263 |
9.1.2 Structure of ERSs | p. 264 |
9.2 State-of-the-Art ERSS | p. 266 |
9.2.1 Strong Motion Instrumentation and ERSs for Earthquake Disaster in California | p. 266 |
9.2.2 Strong Motion Instrumentation and ERSs for Earthquake Disasters in Japan | p. 268 |
9.2.3 Strong Motion Instrumentation and ERSs in Taiwan | p. 271 |
9.2.4 Strong Motion Instrumentation and ERSs in Other Countries | p. 272 |
9.2.5 ERSs for Floods and other Disasters | p. 272 |
9.2.6 New Method of Damage Reconnaissance | p. 272 |
9.3 Examples of Developing ERSs for Earthquakes and Other Disasters | p. 273 |
9.3.1 Facility Management in Nagoya University | p. 273 |
9.3.2 Seismic Ground Motion Evaluation | p. 274 |
9.3.3 Soil Modeling | p. 276 |
9.3.4 Seismic Damage Estimation | p. 277 |
9.3.5 Early Seismic Damage Estimation | p. 278 |
9.3.6 Environmental Vibration Alarm | p. 279 |
9.3.7 "Anshin-System": Intercommunication System for Earthquake Hazard and Disaster Information | p. 279 |
9.4 Future Aspects of Emergency Response Systems | p. 282 |
9.4.1 Implementation Issues | p. 282 |
9.4.2 Developing New Technologies for ERSs | p. 283 |
9.5 Concluding Remarks | p. 284 |
References | p. 284 |
Chapter 10 Location-Based Computing for Infrastructure Field Tasks | |
10.1 Introduction | p. 287 |
10.2 LBC-Infra Concept | p. 290 |
10.3 Technological Components of LBC-INFRA | p. 291 |
10.3.1 Mobile and Wearable Computers | p. 291 |
10.3.2 Spatial Databases | p. 295 |
10.3.3 Positioning and Tracking Technologies | p. 296 |
10.3.4 Wireless Communications | p. 299 |
10.4 General Requirements of LBC-Infra | p. 300 |
10.5 Interaction Patterns and Framework of LBC-Infra | p. 301 |
10.5.1 Interaction Patterns of LBC-Infra | p. 302 |
10.5.2 Interaction Framework | p. 303 |
10.5.3 Interaction Levels of LBC-Infra | p. 304 |
10.6 Prototype System and Case Study | p. 306 |
10.6.1 Software of the Prototype | p. 307 |
10.6.2 Hardware of the Prototype | p. 309 |
10.6.3 Preliminary Evaluation of the Prototype System | p. 309 |
10.7 Conclusions | p. 311 |
References | p. 311 |
Chapter 11 The Role of Telegeoinformatics in ITS | |
11.1 Introduction to Intelligent Transportation Systems | p. 315 |
11.1.1 The ITS Vision and Functional Areas | p. 315 |
11.1.2 The ITS Architecture | p. 316 |
11.2 Telegeoinformatics Within ITS | p. 318 |
11.2.1 ITS-Telegeoinformatics Technologies | p. 319 |
11.2.2 ITS-Telegeoinformatics Applications: General Comments | p. 320 |
11.2.3 The ITS-Telegeoinformatics Development Drivers | p. 321 |
11.3 The Role of Positioning Systems In ITS | p. 324 |
11.3.1 Taxonomy of Positioning Systems | p. 324 |
11.3.2 Attributes of Positioning Systems | p. 325 |
11.3.3 E911 and Positioning System Development | p. 326 |
11.4 Geospatial Data for ITS | p. 328 |
11.4.1 The Digital Map | p. 328 |
11.4.2 Map Attribute Data | p. 329 |
11.4.3 Map Display | p. 330 |
11.4.4 Map-Aided Positioning | p. 332 |
11.4.5 Navigable Road Map Databases | p. 333 |
11.5 Communication Systems in ITS | p. 335 |
11.5.1 Mobile Telephony Systems: GSM and SMS | p. 335 |
11.5.2 Mobile Telephony Systems: GPRS and 3G | p. 336 |
11.6 ITS-Telegeoinformatics Applications | p. 337 |
11.6.1 Driver Assistance | p. 337 |
11.6.2 Passenger Information | p. 341 |
11.6.3 Vehicle Management | p. 342 |
11.7 NON-Technical Issues Impacting on ITS | p. 343 |
11.8 Concluding Remarks | p. 345 |
References | p. 345 |
Chapter 12 The Impact and Penetration of Location-Based Services | |
12.1 The Definition of Technologies | p. 349 |
12.2 LBSs: Definitions, Software, and Usage | p. 350 |
12.3 The Market for LBSs: A Model of the Development of LBSs | p. 353 |
12.4 Penetration of Mobile Devices: Predictions of Future Markets | p. 356 |
12.4.1 Summary of the Growth Trend in the Mobile Market | p. 356 |
12.4.2 Prediction of Growth Trend in the Mobile Market | p. 359 |
12.5 Impacts of LBSs on Geographical Locations | p. 362 |
12.6 Conclusions | p. 363 |
References | p. 365 |
About the Authors | p. 367 |
Index | p. 373 |