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Remote Sensing Image Analysis: Including the Spatial Domain by Steven M. de Jong
US $125.55
ApproximatelyRM 527.69
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Brand New
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eBay item number:395159212459
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9781402025594
- Book Title
- Remote Sensing Image Analysis: Including the Spatial Domain
- ISBN
- 9781402025594
- Subject Area
- Non-Classifiable, Technology & Engineering, Science
- Publication Name
- Remote Sensing Image Analysis : Including the Spatial Domain
- Publisher
- Springer Netherlands
- Item Length
- 9.3 in
- Subject
- Lasers & Photonics, Physics / Optics & Light, Remote Sensing & Geographic Information Systems
- Publication Year
- 2004
- Series
- Remote Sensing and Digital Image Processing Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.3 in
- Item Weight
- 54.7 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xv, 359 Pages
About this product
Product Identifiers
Publisher
Springer Netherlands
ISBN-10
1402025599
ISBN-13
9781402025594
eBay Product ID (ePID)
43454102
Product Key Features
Number of Pages
Xv, 359 Pages
Language
English
Publication Name
Remote Sensing Image Analysis : Including the Spatial Domain
Subject
Lasers & Photonics, Physics / Optics & Light, Remote Sensing & Geographic Information Systems
Publication Year
2004
Type
Textbook
Subject Area
Non-Classifiable, Technology & Engineering, Science
Series
Remote Sensing and Digital Image Processing Ser.
Format
Hardcover
Dimensions
Item Height
0.3 in
Item Weight
54.7 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
22
Series Volume Number
5
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
621.3678
Table Of Content
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.
Synopsis
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.
LC Classification Number
QC685-689.55
Item description from the seller
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