Multispectral image analysis using the object-oriented paradigm. (©2007)

• Record Type: Book
• Further Information: Note: Kumar Navulur.
• Other Names: Navulur, Kumar
• Contents: Preface -- List of Figures -- List of Tables -- Chapter 1 Introduction -- 1.1 Background -- 1.2 Objects and Human Interpretation Process -- 1.2.1 Human Interpretation Process versus Computer-Aided Image Analysis -- 1.3 Object-Oriented Paradigm -- 1.4 Organization of the Book -- Chapter 2 Multispectral Remote Sensing -- 2.1 Spatial Resolution -- 2.2 Spectral Resolution -- 2.3 Radiometric Resolution -- 2.4 Temporal Resolution -- 2.5 Multispectral Image Analysis -- Chapter 3 Why an Object-Oriented Approach? -- 3.1 Object Properties -- 3.2 Advantages of an Object-Oriented Approach -- Chapter 4 Creating Objects -- 4.1 Image Segmentation Techniques -- 4.1.1 Public Domain Image Segmentation Software -- 4.1.2 eCognition Segmentation -- 4.2 Creating and Classifying Objects at Multiple Scales -- 4.3 Object Classification -- 4.4 Creating Multiple Levels -- 4.5 Creating Class Hierarchy and Classifying Objects -- 4.6 Final Classification Using Object Relationships between Levels -- Chapter 5 Object-Based Image Analysis -- 5.1 Image Analysis Techniques -- 5.1.1 Unsupervised Classification -- 5.1.2 Supervised Classification -- 5.1.3 Rule-Based Classification -- 5.1.4 Classification and Regression Trees (CART) and Decision Trees -- 5.1.5 Neural Nets and Fuzzy Logic Classification -- 5.2 Supervised Classification Using Multispectral Information -- 5.3 Exploring the Spatial Dimension -- 5.4 Using Contextual Information -- 5.5 Taking Advantage of Morphology Parameters -- 5.6 Taking Advantage of Texture -- 5.7 Adding Temporal Dimension -- Chapter 6 Advanced Object Image Analysis -- 6.1 Techniques to Control Image Segmentation within eCognition -- 6.1.1 Using Ancillary GIS Layers to Contain Object Boundaries -- 6.2 Techniques to Control Image Segmentation within eCognition -- 6.2.1 Spatial Filtering -- 6.2.2 Principal Component Analysis (PCA) -- 6.2.3 Ratioing -- 6.2.4 Vegetation Indices -- 6.2.5 RGB-to-HIS Transformation -- 6.2.6 The Tassel Cap Transformation -- 6.3 Multiscale Approach for Image Analysis -- 6.4 Objects versus Spatial Resolution -- 6.5 Exploring the Parent-Child Object Relationships -- 6.6 Using Semantic Relationships -- 6.7 Taking Advantage of Ancillary Data -- Chapter 7 Accuracy Assessment -- 7.1 Sample Selection -- 7.2 Sampling Techniques -- 7.3 Ground Truth Collection -- 7.4 Accuracy Assessment Measures -- References -- Index.
• Publisher Details: Boca Raton : CRC Press/Taylor & Francis
• Publication Date: 2007
• Copyright Date: 2007
• Extent: 1 online resource (165 pages, [24] pages of plates), illustrations (some color)
• Subjects: 621.36/7; Image analysis; Remote sensing; Object-oriented methods (Computer science); TECHNOLOGY & ENGINEERING -- Imaging Systems; Image analysis; Object-oriented methods (Computer science); Remote sensing; Bildanalys (datorbehandling); Fjärranalys; Electronic books
• Languages: English
• ISBNs: 9781420043075; 1420043072
• Related ISBNs: 9781420043068; 1420043064
• Notes: Note: Includes bibliographical references (pages 151-153) and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.