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Bibliografická citace

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0 (hodnocen0 x )
(0.5) Půjčeno:2x 
SE
Seriál, periodikum
Ostrava : VŠB - Technical University of Ostrava, [2009]-
sv. ; 26 cm

2009-2010
1x ročně
Součástí názvu je označení běžného roku
Popsáno podle: r. 2010
Jednotlivé svazky mají ISBN
978-80-248-2145-0 (2009 ; váz.) 978-80-248-2357-7 (2010 ; váz.)
000202196
YEAR 2009 :   List of authors vi // Preface vii // 1. Methodology of Ontology Building 1 // 1.1 Introduction 1 // 1.2 The ontology concept in the computer science context and its definitions 1 // 1.3 Ontology content 3 // 1.4 Methodology of ontology building 5 // 1.5 Conclusion 9 // 2. Semantic Annotation - Support for Geodata Harmonization And Integration 11 // 2.1 Introduction 11 // 2.2 Semantic issues and ontology 12 // 2.3 Data source ontology vs. database schema 15 // 2.4 Case studies 16 // 2.5 Conclusion 21 // 3. A simplified geometric and topological modelling of 3D buildings enriched by semantic data: combination of surface-based and solid-based representations 25 // 3.1 Introduction 25 // 3.2 Related work 25 // 3.3 Proposed model 30 // 3.4 Experimentation and results 38 // 3.5 Conclusion and future work 40 // 4. GDMS-R: A mixed SQL to manage raster and vector data 43 // 4.1 Introduction 43 // 4.2 Related work 44 // 4.3 Map Algebra and GDMS concepts 45 // 4.4 Implementation details 47 // 4.5 Example case study 49 // 4.6 Conclusion and future works 54 // 4.7 Availability 54 // 5. Terrain skeleton and local morphometric variables: geosciences and computer vision technique 57 // 5.1 Introduction 57 // 5.2 Brief history of specific lines detection 57 // 5.3 Singular points of the surface and local morphometric variables 59 // 5.4 Ridge and edge detection 66 // 5.5 Approximation of partial derivatives of the third order 72 // 5.6 Conclusion 73 // 6. Remote sensing and GIS in geoecological research: a case study from Malá Fatra Mts., Slovakia 77 // 6.1 Introduction 77 // 6.2 Methods 78 // 6.3 Results 80 // 6.4 Discussion 87 // 6.5 Conclusion // 7. Monitoring of Deformations in North-Bohemian Coal Basin by Permanent Scatterer Technique // 7.1 Introduction // 7.2 InSAR overview // 7.3 Permanent Scatterer technique // 7.4 Data sets // 7.5 Results // 7.6 Corner reflectors // 7.7 Conclusions //
8. Spatial Continuity of Selected Labour Market Indicators // 8.1 Introduction // 8.2 Global indicators of spatial association // 8.3 Local indicators of spatial association // 8.4 Case study: a Labour market in the Czech Republic // 8.5 Results of local analysis // 8.6 Conclusion // 9. The Geographical and Temporal Balance of Czech TV CT24 News // 9.1 Introduction // 9.2 Principles of geocoding and geoparsing // 9.3 RSS channel // 9.4 Reference data // 9.5 Recording and geocoding of media news // 9.6 Quality assessment // 9.7 Mapping a news’ distribution // 9.8 Temporal distribution // 9.9 Conclusion // 10. Application of Wireless Sensor Networks with GIS on the Soil Moisture Distribution Mapping // 10.1 Introduction // 10.2 Wireless Sensor Networks (WSN) // 10.3 Application of WSN for Agricultural Studies // 10.4 Integration of WSN and GIS for Agricultural Fields // 10.5 Results and Recommendations // 11. Using of Mobile Device Localization in Mobile Information Systems by Utilization of All Types of Wireless Technologies // 11.1 Introduction // 11.2 The PDPT Framework and PDPT Core // 11.3 Experiments // 11.4 Conclusions // 12. Geolocation possibilities of web pages visitors // 12.1 Introduction // 12.2 Web analytics // 12.3 Geolocation // 12.4 Geolocation techniques // 12.5 Geolocation visualisation // 12.6 Conclusion 156 // 13. Orchestration on GeoWeb Platform 159 // 13.1 Introduction 159 // 13.2 Orchestration 159 // 13.3 Methodology for GeoWeb orchestration 163 // 13.4 Problematic areas 165 // 13.5 Conclusion 165 // Index 169 // About authors 173
YEAR 2010 :   List of authors vi // Preface vii // 1. Satellite-based regional system for observation of forest response to global environmental changes 1 // 1.1 Introduction 1 // 1.2 Materials and methods 2 // 1.3 Results 9 // 1.4 Conclusion 12 // 2. Object-based classification of Landsat imagery and aerial photographs for land cover mapping in eCognition 15 // 2.1 Introduction 15 // 2.2 Geographic object-based image analysis 16 // 2.3 Object-based classification in eCognition 19 // 2.4 Case studies 22 // 2.5 Conclusion 30 // 3. Method for detection of small water bodies developed for purpose of cage fish farming // in Eastern Africa 33 // 3.1 Introduction 33 // 3.2 The Method applied on Landsat data 34 // 3.3 Application on another satellite data 37 // 3.4 Results 38 // 3.5 Discussion / Conclusion 42 // 4. Constructing a Digital Terrain Model from LIDAR data 47 // 4.1 Introduction 47 // 4.2 State of the art 49 // 4.3 Methods 50 // 4.4 Result and discussion 54 // 4.5 Conclusion 58 // 5. Analysis of the surface of buildings using terrestrial hyperspectral data 61 // 5.1 Introduction 61 // 5.2 Spectral analyses 62 // 5.3 Hyperspectral data 63 // 5.4 The hyperspectral system 64 // 5.5 System empirical calibration method and system setting problems 66 // 5.6 The field experiment 68 // 5.7 Analysis of results 71 // 5.8 Conclusions 72 // 6. Dependence of PMl0 Particles Concentration on Aerosol Optical Thickness Value from the MODIS Data 75 // 6.1 Introduction 75 // iv // Contents // 6.2 Data 76 // 6.3 Methodology 77 // 6.4 Results 81 // 6.5 Discussion 89 // 6.6 Conclusion 89 // 7. Monitoring of Precipitable water vapour by GPS under extreme weather conditions 93 // 7.1 Introduction 93 // 7.2 Precipitable water vapour and methods of its determination 93 // 7.3 Processing 94 // 7.4 Visualization of computed results 96 //
7.5 Confrontation of values obtained from GPS measurements with results from other methods 97 // 7.6 Conclusion 101 // 8. Stochastic approach for determining landslide activity 105 // 8.1 Introduction 105 // 8.2 Landslides and their monitoring 106 // 8.3 Experimental site and plot design 107 // 8.4 Statistical methods for landslides determination 109 // 8.5 Models Ill // 8.6 Results 114 // 8.7 Discussion 116 // 8.8 Conclusions 117 // 9. Statistical estimation of land uplift model parameters based on various data sets 121 // 9.1 Introduction 121 // 9.2 Pásse’s uplift model 122 // 9.3 Refinement of Pásse’s uplift model 126 // 9.4 Results 129 // 9.5 UNTAMO toolbox 130 // 9.6 Discussion and conclusions 133 // 10. Mapping and Monitoring of Socially Excluded Localities in Ostrava City 135 // 10.1 Introduction 135 // 10.2 Data processing 136 // 10.3 Identification of socially excluded localities in the city 139 // 10.4 Monitoring of selected localities 143 // 10.5 Discussion 146 // 10.6 Conclusion 148 // 11. Simulation of commuting by carpooling in the Czech Republic 151 // 11.1 Introduction 151 // 11.2 Carpooling: ride-sharing, car-sharing 151 // 11.3 Methodology 153 // 11.4 Carpooling versus other transport modes 156 // 11.5 Cluster of employers based on commuting by travel mode 158 // 11.6 Conclusions 160 // Contents v // 12. Statistical inferences - visualization possibilities and fuzzy approach computing 163 // 12.1 Introduction 163 // 12.2 Public database and its geovisualization possibilities 164 // 12.3 Case study - Visualization of statistical inferences in the definition of rural area using fuzzy methods 167 // 12.4 Conclusion 176 // Index 179 // About authors 183
(OCoLC)641495701
(OCoLC)724298870
cnb002173613

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