Multispectral Image Processing and Pattern Recognition PDF Download

Author: Jun Shen
Publisher: World Scientific
ISBN: 9810245939
Category : Computers
Languages : en
Pages : 135

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Author:
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages :

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Book Description

Author: Jun Shen
Publisher: World Scientific
ISBN: 9789812797599
Category : Computers
Languages : en
Pages : 144

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Book Description
A study of multispectral image processing and pattern recognition. It covers: geometric and orthogonal moments; minimum description length method for facet matching; an integrated vision system for ALV navigation; fuzzy Bayesian networks; and more.

Author: Devrim Unay
Publisher: Presses univ. de Louvain
ISBN: 9782874630415
Category : Computers
Languages : en
Pages : 148

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Book Description
In this book we address the problem of quality inspection of agricultural produce, more specifically apple fruits, based on multispectral image analysis. Following a divide-and-conquer strategy, the problem is divided into the subtasks of stem and ca

Author: Cem Ünsalan
Publisher: Springer Science & Business Media
ISBN: 0857296671
Category : Computers
Languages : en
Pages : 186

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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 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.

Author: S. G. Ungar
Publisher: SPIE-International Society for Optical Engineering
ISBN: 9780819446848
Category : Computers
Languages : en
Pages : 348

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Author:
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 654

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Author: Saurabh Prasad
Publisher: Springer Nature
ISBN: 3030386171
Category : Computers
Languages : en
Pages : 464

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This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.

Author: K. C. Santosh
Publisher: Springer
ISBN: 9811391815
Category : Computers
Languages : en
Pages : 717

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Book Description
This three-volume set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.

Author: Yufeng Zheng (Associate professor)
Publisher:
ISBN: 9781510619067
Category : Computer vision
Languages : en
Pages : 396

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"This book provides a complete overview of the state of the art in color image fusion, the associated evaluation methods, and its range of applications. It presents a comprehensive overview of fusion metrics and a comparison of objective metrics and subjective evaluations. Part I addresses the historical background and basic concepts. Part II describes image fusion theory. Part III focuses on quantitative and qualitative evaluation. Part IV presents several fusion applications, including two primary multiscale fusion approaches - the image pyramid and wavelet transform - as they pertain to face matching, biomedical imaging, and night vision"--