Buch, Englisch, Band 5, 359 Seiten, Book w. online files / update, Format (B × H): 167 mm x 251 mm, Gewicht: 1550 g
Buch, Englisch, Band 5, 359 Seiten, Book w. online files / update, Format (B × H): 167 mm x 251 mm, Gewicht: 1550 g
Reihe: Remote Sensing and Digital Image Processing
ISBN: 978-1-4020-2559-4
Verlag: Springer Nature Singapore
The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Basics of Remote Sensing.- Spatial Variability, Mapping Methods, Image Analysis and Pixels.- Sub-Pixel Methods in Remote Sensing.- Resolution Manipulation and Sub-Pixel Mapping.- Multiscale Object-Specific Analysis (MOSA): An Integrative Approach for Multiscale Landscape Analysis.- Variogram Derived Image Texture for Classifying Remotely Sensed Images.- Merging Spectral and Textural Information for Classifying Remotely Sensed Images.- Contextual Image Analysis Methods for Urban Applications.- Pixel-Based, Stratified and Contextual Analysis of Hyperspectral Imagery.- Variable Multiple Endmember Spectral Mixture Analysis for Geology Applications.- A Contextual Algorithm for Detection of Mineral Alteration Halos with Hyperspectral Remote Sensing.- Image Segmentation Methods for Object-based Analysis and Classification.- Multiscale Feature Extraction from Images Using Wavelets.- Contextual Analyses of Remotely Sensed Images for the Operational Classification of Land Cover in United Kingdom.- A Contextual Approach to Classify Mediterranean Heterogeneous Vegetation using the Spatial Reclassification Kernel (SPARK) and DAIS7915 Imagery.