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Object-Based Image Analysis Spatial Concepts for Knowledge-Driven Remote Sensing Applications /

Advances in earth observations sensors and GIScience have led to the emerging fields of Object-based Image Analysis (OBIA). The need for timely and accurate geo-spatial information is steadily increasing. This book discusses means, technologies and approaches related to the processing and analysis o...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Blaschke, Thomas (Editor ), Lang, Stefan (Editor ), Hay, Geoffrey (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Lecture Notes in Geoinformation and Cartography,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Why object-based image analysis
  • Object-based image analysis for remote sensing applications: modeling reality - dealing with complexity
  • Progressing from object-based to object-oriented image analysis
  • An object-based cellular automata model to mitigate scale dependency
  • Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline
  • Image objects and geographic objects
  • Multiscale representation and object-based classification
  • Using texture to tackle the problem of scale in land-cover classification
  • Domain-specific class modelling for one-level representation of single trees
  • Object recognition and image segmentation: the Feature Analyst® approach
  • A procedure for automatic object-based classification
  • Change detection using object features
  • Identifying benefits of pre-processing large area QuickBird imagery for object-based image analysis
  • A hybrid texture-based and region-based multi-scale image segmentation algorithm
  • Semi-automated forest stand delineation using wavelet based segmentation of very high resolution optical imagery
  • Quality assessment of segmentation results devoted to object-based classification
  • Automated classification, mapping and updating: forest
  • Object-based classification of QuickBird data using ancillary information for the detection of forest types and NATURA 2000 habitats
  • Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery
  • An object based approach for the implementation of forest legislation in Greece using very high resolution satellite data
  • 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
  • Pixels to objects to information: Spatial context to aid in forest characterization with remote sensing
  • Automated classification, mapping and updating: environmental resource management and agriculture
  • Object oriented oil spill contamination mapping in West Siberia with Quickbird data
  • An object-oriented image analysis approach for the identification of geologic lineaments in a sedimentary geotectonic environment
  • Classification of linear environmental impacts and habitat fragmentation by object oriented analysis of aerial photographs in Corrubedo National Park (NW Iberian Peninsula)
  • Multi-scale functional mapping of tidal marsh vegetation using object-based image analysis
  • A Local Fourier Transform approach for vine plot extraction from aerial images
  • Automated classification, mapping and updating: land use / land cover
  • Object-based classification of IKONOS data for vegetation mapping in Central Japan
  • Structural biodiversity monitoring in savanna ecosystems: Integrating LiDAR and high resolution imagery through object-based image analysis
  • Fusion of multispectral optical and SAR images towards operational land cover mapping in Central Europe
  • The development of integrated object-based analysis of EO data within UK national land cover products
  • Automated classification, mapping and updating: urban applications
  • Detecting informal settlements from QuickBird data in Rio de Janeiro using an object based approach
  • Opportunities and limitations of object based image analysis for detecting urban impervious and vegetated surfaces using true-colour aerial photography
  • Object-based Image Analysis using QuickBird satellite images and GIS data, case study Belo Horizonte (Brazil)
  • An object-based approach to detect road features for informal settlements near Sao Paulo, Brazil
  • Development of new methodologies
  • Object-oriented analysis of image and LiDAR data and its potential for a dasymetric mapping application
  • Characterising mountain forest structure using landscape metrics on LiDAR-based canopy surface models
  • Object detection in airborne laser scanning data - an integrative approach on object-based image and point cloud analysis
  • Support Vector Machine Classification for Object-Based Image Analysis
  • Genetic adaptation of segmentation parameters
  • Principles of full autonomy in image interpretation. The basic architectural design for a sequential process with image objects
  • Strategies for semi-automated habitat delineation and spatial change assessment in an Alpine environment
  • Burning research questions, research needs and outlook
  • On segment based image fusion
  • Modelling uncertainty in high resolution remotely sensed scenes using a fuzzy logic approach
  • Assessing image segmentation quality - concepts, methods and application
  • Object-fate analysis - spatial relationships for the assessment of object transition and correspondence.