Multispectral Satellite Image Understanding

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  • Multispectral Satellite Image Understanding Book Detail

  • Author : Cem Ünsalan
  • Release Date : 2011-05-18
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 189
  • ISBN 13 : 0857296671
  • File Size : 59,59 MB

Multispectral Satellite Image Understanding by Cem Ünsalan PDF Summary

Book Description: This book presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical framework with highly practical applications, the book describes a system for the effective detection of single houses and streets in very high resolution. Topics and features: with a Foreword by Prof. Dr. Peter Reinartz of the German Aerospace Center; provides end-of-chapter summaries and review questions; presents a detailed review on remote sensing satellites; examines the multispectral information that can be obtained from satellite images, with a focus on vegetation and shadow-water indices; investigates methods for land-use classification, introducing precise graph theoretical measures over panchromatic images; addresses the problem of detecting residential regions; describes a house and street network-detection subsystem; concludes with a summary of the key ideas covered in the book.

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Multispectral Satellite Image Understanding

Multispectral Satellite Image Understanding

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This book presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical framework with

Multispectral Satellite Image Understanding

Multispectral Satellite Image Understanding

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This book presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical framework with

Remote Sensing Digital Image Analysis

Remote Sensing Digital Image Analysis

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With the widespread availability of satellite and aircraft remote sensing image data in digital form, and the ready access most remote sensing practitioners hav