Remote Sensing Image Analysis: Including the Spatial Domain / Edition 1

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Overview

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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Product Details

  • ISBN-13: 9781402025594
  • Publisher: Springer Netherlands
  • Publication date: 2/15/2007
  • Series: Remote Sensing and Digital Image Processing Series , #5
  • Edition description: 1st ed. 2004. 2nd printing 2006
  • Edition number: 1
  • Pages: 359
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.88 (d)

Table of Contents

1 Basics of remote sensing 1
2 Spatial variability, mapping methods, image analysis and pixels 17
3 Sub-pixel methods in remote sensing 37
4 Resolution manipulation and sub-pixel mapping 51
5 Multiscale object-specific analysis (MOSA) : an integrative approach for multiscale landscape analysis 71
6 Variogram derived image texture for classifying remotely sensed images 93
7 Merging spectral and textural information for classifying remotely sensed images 113
8 Contextual image analysis methods for urban applications 137
9 Pixel-based, stratified and contextual analysis of hyperspectral imagery 153
10 Variable multiple endmember spectral mixture analysis for geology applications 181
11 A contextual algorithm for detection of mineral alteration halos with hyperspectral remote sensing 201
12 Image segmentation methods for object-based analysis and classification 211
13 Multiscale feature extraction from images using wavelets 237
14 Contextual analyses of remotely sensed images for the operational classification of land cover in United Kingdom 271
15 A contextual approach to classify Mediterranean heterogeneous vegetation using the spatial reclassification kernel (SPARK) and DAIS[subscript 7915] imagery 291
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