Object-Based Image Analysis

Spatial Concepts for Knowledge-Driven Remote Sensing Applications

Editors:

ISBN: 978-3-540-77057-2 (Print) 978-3-540-77058-9 (Online)

Table of contents (43 chapters)

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  1. Front Matter

    Pages I-XVII

  2. Why object-based image analysis

    1. Front Matter

      Pages 1-1

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      Book Chapter

      Pages 3-27

      Object-based image analysis for remote sensing applications: modeling reality – dealing with complexity

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      Pages 29-42

      Progressing from object-based to object-oriented image analysis

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      Pages 43-73

      An object-based cellular automata model to mitigate scale dependency

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      Book Chapter

      Pages 75-89

      Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline

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      Book Chapter

      Pages 91-110

      Image objects and geographic objects

  3. Multiscale representation and object-based classification

    1. Front Matter

      Pages 111-111

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      Book Chapter

      Pages 113-132

      Using texture to tackle the problem of scale in land-cover classification

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      Book Chapter

      Pages 133-151

      Domain-specific class modelling for one-level representation of single trees

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      Book Chapter

      Pages 153-167

      Object recognition and image segmentation: the Feature Analyst® approach

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      Pages 169-184

      A procedure for automatic object-based classification

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      Pages 185-201

      Change detection using object features

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      Pages 203-219

      Identifying benefits of pre-processing large area QuickBird imagery for object-based image analysis

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      Pages 221-236

      A hybrid texture-based and region-based multi-scale image segmentation algorithm

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      Book Chapter

      Pages 237-256

      Semi-automated forest stand delineation using wavelet based segmentation of very high resolution optical imagery

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      Book Chapter

      Pages 257-271

      Quality assessment of segmentation results devoted to object-based classification

  4. Automated classification, mapping and updating: forest

    1. Front Matter

      Pages 273-273

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      Book Chapter

      Pages 275-290

      Object-based classification of QuickBird data using ancillary information for the detection of forest types and NATURA 2000 habitats

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      Book Chapter

      Pages 291-307

      Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery

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      Book Chapter

      Pages 309-325

      An object based approach for the implementation of forest legislation in Greece using very high resolution satellite data

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      Book Chapter

      Pages 327-343

      Object based classification of SAR data for the delineation of forest cover maps and the detection of deforestation – A viable procedure and its application in GSE Forest Monitoring

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      Book Chapter

      Pages 345-363

      Pixels to objects to information: Spatial context to aid in forest characterization with remote sensing

  5. Automated classification, mapping and updating: environmental resource management and agriculture

    1. Front Matter

      Pages 365-365

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      Book Chapter

      Pages 367-382

      Object oriented oil spill contamination mapping in West Siberia with Quickbird data

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