Outlines a number of methodologies used in the production and analysis of urban remote sensing data.
Authors' Preface; 1. Urban Remote Sensing: State of the Art and Issues 2. Improving Spatial Resolution of Images by Means of Sensor Fusion. A General Solution: The ARSIS Method 3. Enhancement to per Pixel Image Classification Techniques 4. ImageSegmentation Methodology in the Urban Environment 5. Inferring Urban Land Use and Structure Using Syntactic Pattern Recognition 6. Urban Pattern Characterisation Through Geostatistical Analysis of Satellite Images 7. Remote Sensing Data Used for UrbanAgglomeration Delimitation 8. Measuring and Modelling Urban Morphology 9. Recognizing Settlement Structure Using Mathematical Morphology and Image Texture Measures 10. Modelling Geographical Distribution in Urban Areas 11. A Method for the GeographicalAnalysis of the Population of the Fast-growing Cities in the Third World 12. Conclusions
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