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Zusatztext ". . . Navulur's book makes a valuable contribution because it offers a well-organized reference to contemporary developments in object-oriented image analysis! along with various creative ideas for implementation of these methods in practical solutions." - Matthew Ramspott! Department of Geography! Frostburg State University! in Photogrammetric Engineering & Remote Sensing! September 2007! Vol. 73! No. 9 Informationen zum Autor Navulur\! Kumar Klappentext Bringing a fresh perspective to remote sensing! object-based image analysis is a paradigm shift from the traditional pixel-based approach. This work reviews the image analysis methods and demonstrates advantages to improve information extraction from imagery. Zusammenfassung Featuring various hands-on examples to provide understanding of this new approach, Multispectral Image Analysis Using the Object-Oriented Paradigm shows how to extract information from remotely sensed data for applications in agriculture, visual simulation, civil government mapping, forestry, fire risk assessment, and more. This bo Inhaltsverzeichnis Introduction Background Objects and Human Interpretation Process Object-Oriented Paradigm Organization of the Book Multispectral Remote Sensing Spatial Resolution Spectral Resolution Radiometric ResolutionTemporal Resolution Multispectral Image Analysis Why an Object-Oriented Approach? Object PropertiesAdvantages of Object-Oriented ApproachCreating ObjectsImage Segmentation Techniques Creating and Classifying Objects at Multiple ScalesObject Classification Creating Multiple Levels Creating Class Hierarchy and Classifying Objects Final Classification Using Object Relationships between LevelsObject-Based Image AnalysisImage Analysis TechniquesSupervised Classification Using Multispectral Information Exploring the Spatial DimensionUsing Contextual Information Taking Advantage of Morphology ParametersTaking Advantage of TextureAdding Temporal DimensionAdvanced Object Image AnalysisTechniques to Control Image Segmentation within eCognition Techniques to Control Image Segmentation within eCognition Multi-Scale Approach for Image Analysis Objects vs. Spatial Resolution Exploring the Parent-Child Object RelationshipsUsing Semantic Relationships Taking Advantage of Ancillary Data Accuracy AssessmentSample SelectionSampling Techniques Ground Truth CollectionAccuracy Assessment Measures ReferencesIndex ...
