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Remote Sensing Image Analysis / Including the Spatial Domain / Steven M. de Jong (u. a.) / Buch / Remote Sensing and Digital Image Processing / CDROM (colour images) / Englisch / 2006 - Jong, Steven M. de
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Remote Sensing Image Analysis / Including the Spatial Domain / Steven M. de Jong (u. a.) / Buch / Remote Sensing and Digital Image Processing / CDROM (colour images) / Englisch / 2006 - hardcover

2006, ISBN: 9781402025594

[ED: Gebunden], [PU: Springer Netherland], Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cel… More...

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Remote Sensing Image Analysis Including the Spatial Domain Steven M. de Jong (u. a.) Buch Remote Sensing and Digital Image Processing CDROM (colour images) Englisch 2006 - Jong, Steven M. de
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Remote Sensing Image Analysis Including the Spatial Domain Steven M. de Jong (u. a.) Buch Remote Sensing and Digital Image Processing CDROM (colour images) Englisch 2006 - hardcover

2006, ISBN: 9781402025594

[ED: Gebunden], [PU: Springer Netherland], Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cel… More...

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Remote Sensing Image Analysis: Including the Spatial Domain - Jong, Steven M. de Meer, Freek van der
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Remote Sensing Image Analysis: Including the Spatial Domain - new book

ISBN: 9781402025594

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 surroundi… More...

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Remote Sensing Image Analysis: Including the Spatial Domain - Steven M. de Jong
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Remote Sensing Image Analysis: Including the Spatial Domain - hardcover

ISBN: 9781402025594

Hardback, [PU: Springer-Verlag New York Inc.], Including a CD-ROM with colour images printed in B&W in the book itself, Interdisciplinary Studies, Interdisciplinary Studies, Science & Geo… More...

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Remote Sensing Image Analysis: Including the Spatial Domain - Steven M. de Jong
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Remote Sensing Image Analysis: Including the Spatial Domain - hardcover

ISBN: 9781402025594

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Remote Sensing Image Analysis: Including the Spatial Domain
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ISBN:

1402025599


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. TOC:Preface.- Acknowledgements.- 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 Analysis of Remotely Sensed Images for the Operational Classification of Land Cover in the United Kingdom.- A Contextual Approach to Classify Mediterranean Heterogeneous Vegetation Using the Spatial Reclassification Kernel (SPARK) and DAIS7915 Imagery.- List of Contributors.- Acronyms.- References.- Index.- CD-ROM included.

Details of the book - Remote Sensing Image Analysis: Including the Spatial Domain


EAN (ISBN-13): 9781402025594
ISBN (ISBN-10): 1402025599
Hardcover
Paperback
Publishing year: 2004
Publisher: Springer-Verlag New York Inc.

Book in our database since 2007-06-03T22:31:53-04:00 (New York)
Detail page last modified on 2023-03-14T08:06:41-04:00 (New York)
ISBN/EAN: 1402025599

ISBN - alternate spelling:
1-4020-2559-9, 978-1-4020-2559-4
Alternate spelling and related search-keywords:
Book author: jong, meer van der, freek
Book title: digital image processing, domain, remote sensing digital image analysis, spatial analysis, not his image, jong, see yourself sensing, our own image, images processing, the image

Information from Publisher

Author: Steven M. de Jong; Freek D. van der Meer
Title: Remote Sensing and Digital Image Processing; Remote Sensing Image Analysis: Including the Spatial Domain
Publisher: Springer; Springer Netherland
359 Pages
Publishing year: 2004-08-17
Dordrecht; NL
Language: English
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
XV, 359 p. 164 illus. With online files/update.

BB; Hardcover, Softcover / Physik, Astronomie/Elektrizität, Magnetismus, Optik; Laserphysik; Verstehen; Earth System; LED; digital elevation model; environmental remote sensing; geostatistics; image processing; land use change; remote sensing/photogrammetry; Laser; Humanities and Social Sciences; Environmental Sciences; Geographical Information System; Geology; Geotechnical Engineering and Applied Earth Sciences; Interdisziplinäre Studien; Umwelt; Geographische Informationssysteme (GIS) und Fernerkundung; Geologie und die Lithosphäre; Geowissenschaften; BC

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.
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
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