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Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection (Advances in Computer Vision and Pattern Recognition) - Hardcover

Book 20 of 86: Advances in Computer Vision and Pattern Recognition

Ünsalan, Cem; Boyer, Kim L.

 
9780857296665: Multispectral Satellite Image Understanding: From Land Classification to Building and Road Detection (Advances in Computer Vision and Pattern Recognition)

Synopsis

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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About the Author

Dr. Cem Ünsalan is currently a full professor and head of the Department of Electrical and Electronics Engineering at Marmara University, Turkey. Prior to that he was a member of the faculty in the Department of Electrical and Electronics Engineering at Yeditepe University, Turkey, where he established the DSP Lab and taught microprocessor and digital signal processing courses for 15 years. Dr. Ünsalan received his BSc degree from Hacettepe University; his MSc degree from Bogazici University; and his PhD from The Ohio State University. His research focuses on digital signal processing on embedded systems, computer vision, and remote sensing. He has published extensively on these topics in respected journals.
H. Deniz Gürhan received his BSc (2010) from Yeditepe University, Turkey. He is pursuing a Ph.D. degree in digital signal processing and embedded systems at the same university and works as a research assistant in the DSP Lab. His research focuses on digital signal processing, digital control, and embedded systems.
M. Erkin Yücel received his BSc and MSc from Yeditepe University, where he is pursuing a PhD in embedded systems and works as a research assistant in the DSP Lab. His research focuses on digital and analog signal processing, IoT, sensors, and embedded systems.

From the Back Cover

Rapid development of remote sensing technology in recent years has greatly increased availability of high-resolution satellite image data. However, detailed analysis of such large data sets also requires innovative new techniques in image and signal processing.

This important text/reference 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, making use of both well-known methods and cutting-edge techniques in computer vision, 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

This pioneering work on automated satellite and aerial image-understanding systems will be of great interest to researchers in both remote sensing and computer vision, highlighting the benefit of interdisciplinary collaboration between the two communities. Urban planners and policy makers will also find considerable value in the proposed system.

Dr. Cem Ünsalan is an Associate Professor in the Department of Electrical and Electronics Engineering at Yeditepe University, Istanbul, Turkey. Dr. Kim Boyer is Professor and Head of the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, Troy, NY, USA.

"About this title" may belong to another edition of this title.