Volume 5. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9781402025594.

N� de ref. del art�culo 8690413

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Detalles bibliogr�ficos

T�tulo

Remote Sensing and Digital Image Processing: Remote Sensing Image Analysis: Including the Spatial Domain (Volume 5)

Editor

Kluwer Academic

Fecha de publicaci�n

2004

Idioma

Ingl�s

ISBN 10

1402025599

ISBN 13

9781402025594

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

Good

Cat�logos de vendedores

Engineering

Acerca de

Sinopsis

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.

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