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Multispectral Satellite Image Understanding

From Land Classification to Building and Road Detection

  • Book
  • © 2011

Overview

Authors:
  1. Cem Ünsalan

    1. Electrical and Electronics Engineering, Yeditepe University, Kayisdagi, Turkey

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  2. Kim L. Boyer

    1. Dept. Electrical, Comp. & Systems Eng., Rensselaer Polytechnic Institute, Troy, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Provides in-depth coverage of novel computer vision methods for remote sensing applications
  • Includes end-of-chapter summaries and review questions
  • With a Foreword by Prof. Dr. Peter Reinartz of the German Aerospace Center
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (13 chapters)

  1. Front Matter

    Pages I-XVII
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  2. Sensors

    1. Front Matter

      Pages 5-5
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  3. Introduction

    1. Introduction

      • Cem Ünsalan, Kim L. Boyer
      Pages 1-4

  4. Sensors

    1. Front Matter

      Pages 5-5
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    2. Remote Sensing Satellites and Airborne Sensors

      • Cem Ünsalan, Kim L. Boyer
      Pages 7-15

  5. The Multispectral Information

    1. Front Matter

      Pages 17-17
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    2. Linearized Vegetation Indices

      • Cem Ünsalan, Kim L. Boyer
      Pages 19-39

    3. Linearized Shadow and Water Indices

      • Cem Ünsalan, Kim L. Boyer
      Pages 41-46

  6. Land Use Classification

    1. Front Matter

      Pages 47-47
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    2. Review on Land Use Classification

      • Cem Ünsalan, Kim L. Boyer
      Pages 49-64

    3. Land Use Classification using Structural Features

      • Cem Ünsalan, Kim L. Boyer
      Pages 65-81

    4. Land Use Classification via Multispectral Information

      • Cem Ünsalan, Kim L. Boyer
      Pages 83-98

    5. Graph Theoretical Measures for Land Development

      • Cem Ünsalan, Kim L. Boyer
      Pages 99-120

  7. Extracting Residential Regions

    1. Front Matter

      Pages 121-121
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    2. Feature Based Grouping to Detect Suburbia

      • Cem Ünsalan, Kim L. Boyer
      Pages 123-129

    3. Detecting Residential Regions by Graph-Theoretical Measures

      • Cem Ünsalan, Kim L. Boyer
      Pages 131-136

  8. Building and Road Detection

    1. Front Matter

      Pages 137-137
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    2. Review on Building and Road Detection

      • Cem Ünsalan, Kim L. Boyer
      Pages 139-144

    3. House and Street Network Detection in Residential Regions

      • Cem Ünsalan, Kim L. Boyer
      Pages 145-176

  9. Summarizing the Overall System

    1. Front Matter

      Pages 177-177
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Keywords

About this book

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.

Reviews

From the reviews:

“The authors write that their aims were the proposal of a novel automated end-to-end system to analyze multispectral satellite images and to emphasize how many research problems in remote sensing applications are waiting to be solved by the computer vision community. Well, the book satisfies both these goals. … it represents a good reference book, even a milestone, for teaching multispectral image understanding to students and/or young researchers.” (Primo Zingaretti, IAPR Newsletter, Vol. 34 (3), July-August, 2012)

Authors and Affiliations

  • Electrical and Electronics Engineering, Yeditepe University, Kayisdagi, Turkey

    Cem Ünsalan

  • Dept. Electrical, Comp. & Systems Eng., Rensselaer Polytechnic Institute, Troy, USA

    Kim L. Boyer

Bibliographic Information

  • Book Title: Multispectral Satellite Image Understanding

  • Book Subtitle: From Land Classification to Building and Road Detection

  • Authors: Cem Ünsalan, Kim L. Boyer

  • Series Title: Advances in Computer Vision and Pattern Recognition

  • DOI: https://doi.org/10.1007/978-0-85729-667-2

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London Limited 2011

  • Hardcover ISBN: 978-0-85729-666-5Published: 20 May 2011

  • Softcover ISBN: 978-1-4471-2656-0Published: 15 July 2013

  • eBook ISBN: 978-0-85729-667-2Published: 18 May 2011

  • Series ISSN: 2191-6586

  • Series E-ISSN: 2191-6594

  • Edition Number: 1

  • Number of Pages: XVIII, 186

  • Topics: Image Processing and Computer Vision, Pattern Recognition

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