Multispectral Image Analysis Using the Object-Oriented Paradigm

摘要: Introduction Background Objects and Human Interpretation Process Object-Oriented Paradigm Organization of the Book Multispectral Remote Sensing Spatial Resolution Spectral Radiometric Temporal Image Analysis Why an Approach? Object Properties Advantages Approach Creating Segmentation Techniques Classifying at Multiple Scales Classification Levels Class Hierarchy Final Using Relationships between Object-Based Supervised Information Exploring Dimension Contextual Taking Advantage Morphology Parameters Texture Adding Advanced to Control within eCognition Multi-Scale for vs. Parent-Child Semantic Ancillary Data Accuracy Assessment Sample Selection Sampling Ground Truth Collection Measures References Index