Remote Sensing Image Analysis

Including the Spatial Domain

Steven M. de Jong, Freek D. Van der Meer - Collection Remote Sensing and Digital Image Processing

359 pages, parution le 11/02/2005

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Résumé

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.

Audience
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.

Sommaire

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

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Kluwer Academic Publishers
Auteur(s)	Steven M. de Jong, Freek D. Van der Meer
Collection	Remote Sensing and Digital Image Processing
Parution	11/02/2005
Nb. de pages	359
Format	16,5 x 24,5
Couverture	Relié
Poids	805g
Intérieur	Noir et Blanc
EAN13	9781402025594