Multispectral Satellite Image Understanding: Advances in Computer Vision and Pattern Recognition
Autor Cem Ünsalan, Kim L. Boyeren Limba Engleză Paperback – 15 iul 2013
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Specificații
ISBN-13: 9781447126560
ISBN-10: 1447126564
Pagini: 204
Ilustrații: XVIII, 186 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.32 kg
Ediția:2011
Editura: Springer
Colecția Advances in Computer Vision and Pattern Recognition
Seria Advances in Computer Vision and Pattern Recognition
Locul publicării:London, United Kingdom
ISBN-10: 1447126564
Pagini: 204
Ilustrații: XVIII, 186 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.32 kg
Ediția:2011
Editura: Springer
Colecția Advances in Computer Vision and Pattern Recognition
Seria Advances in Computer Vision and Pattern Recognition
Locul publicării:London, United Kingdom
Public țintă
ResearchCuprins
Introduction.- Part I: Sensors.- Remote Sensing Satellites and Airborne Sensors.- Part II: The Multispectral Information.- Linearized Vegetation Indices.- Linearized Shadow and Water Indices.- Part III: Land Use Classification.- Review on Land Use Classification.- Land Use Classification using Structural Features.- Land Use Classification via Multispectral Information.- Graph Theoretical Measures for Land Development.- Part IV: Extracting Residential Regions.- Feature Based Grouping to Detect Suburbia.- Detecting Residential Regions by Graph Theoretical Measures.- Part V: Building and Road Detection.- Review on Building and Road Detection.- House and Street Network Detection in Residential Regions.- Part VI: Summarizing the Overall System.- Final Comments.
Recenzii
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)
“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)
Textul de pe ultima copertă
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:
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 ofElectrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, Troy, NY, USA.
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
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 ofElectrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, Troy, NY, USA.
Caracteristici
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
Notă biografică
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.