Remote Sensing Image Analysis: Including the Spatial Domain

Remote Sensing Image Analysis: Including the Spatial Domain
By:Steven M. de Jong,Freek D. van der Meer
Published on 2007-07-26 by Springer Science & Business Media

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.

This Book was ranked at 9 by Google Books for keyword simulating the earth.

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Book which was published by Springer Science & Business Media since 2007-07-26 have ISBNs, ISBN 13 Code is 9781402025600 and ISBN 10 Code is 1402025602

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