Remote Sensing Image Analysis: Including the Spatial Domain, 1st ed. 2004. 2nd printing 2006 Remote Sensing and Digital Image Processing Series, Vol. 5
Coordonnateurs : de Jong Steven M., van der Meer Freek D.
Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps.
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.
Follow-up to the previous publication Imaging Spectrometry - Basic Principles and Prospective Applications (2001) by the same Editors
Shift from spectrally based techniques to spatial-based approaches
Includes supplementary material: sn.pub/extras
Date de parution : 11-2013
Ouvrage de 359 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 105,49 €
Ajouter au panierDate de parution : 07-2006
Ouvrage de 359 p.
15.5x23.5 cm
