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  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almafu_9960119017202883
    Format: 1 online resource (xx, 234 pages) : , digital, PDF file(s).
    ISBN: 1-108-68304-5 , 1-108-56628-6
    Content: Written in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for remotely sensed multi-spectral images. It covers important multi-resolution fusion concepts along with the state-of-the-art methods including super resolution and multi stage guided filters. It includes in depth analysis on degradation estimation, Gabor Prior and Markov Random Field (MRF) Prior. Concepts such as guided filter and difference of Gaussian are discussed comprehensively. Novel techniques in multi-resolution fusion by making use of regularization are explained in detail. It also includes different quality assessment measures used in testing the quality of fusion. Real-life applications and plenty of multi-resolution images are provided in the text for enhanced learning.
    Note: Title from publisher's bibliographic system (viewed on 11 Dec 2018).
    Additional Edition: ISBN 1-108-47512-4
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    Cambridge, United Kingdom : Cambridge University Press
    UID:
    b3kat_BV046092998
    Format: xx, 234 pages , Illustrationen, Diagramme , 24 cm
    ISBN: 9781108475129
    Language: English
    Subjects: Engineering
    RVK:
    Keywords: Fernerkundung ; Bildverarbeitung
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  • 3
    Online Resource
    Online Resource
    Bellingham, Washington (1000 20th St. Bellingham WA 98225-6705 USA) :SPIE,
    UID:
    almahu_9947418290702882
    Format: 1 online resource (v, 39 pages).
    ISBN: 9781510607590 , 9781510607606 , 9781510607613
    Series Statement: SPIE. Spotlight ; SL25
    Content: Spectral unmixing is a challenging mixed-pixel decomposition problem that can be addressed by regularization This Spotlight presents methods to obtain better estimates of underlying abundances. It discusses least-squares, total-least squares, and Markov random-field-based frameworks to unmix hyperspectral data. Particular attention is paid to spectral-space-based regularization methods. Detailed theoretical analysis is performed to illustrate the advantages of this approach. The performance of the proposed methods is tested using a simulated database as well as by conducting experiments on real AVIRIS data. Other topics include parameter estimation, noise sensitivity, and time-complexity-related issues. Finally, the primary results of parallel computations are provided for real-time applications.
    Note: "SPIE Digital Library."--Website. , Preface -- 1. Introduction: 1.1. Hyperspectral imaging -- 2. Model for unmixing: 2.1. Spectral unmixing: an ill-posed inverse problem -- 3. Brief literature review: 3.1. Problem formulation -- 4. Solution space of unmixing and need for regularization -- 5. Role of regularization: 5.1. Spatial regularization; 5.2. Spectral regularization -- 6. Few regularization approaches for unmixing: 6.1. Spectral regularization for endmember extraction; 6.2. Spectral regularization for abundance estimation -- 7. Experimental results: 7.1. Experiments on the simulated data;7.2. Experiments on the real AVIRIS data; 7.3. Parameter estimation and sensitivity analysis -- 8. Regularization in other applications of remote sensing: 8.1. Regularization in hyperspectral super-resolution; 8.2. Regularization in pansharpening -- 9. Concluding remarks -- 10. Acknowledgments -- References. , Mode of access: World Wide Web. , System requirements: Adobe Acrobat Reader.
    Language: English
    Keywords: Electronic books.
    URL: SPIE
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    gbv_877240280
    Format: 1 Online-Ressource (xviii, 150 Seiten) , Illustrationen
    ISBN: 1627056165 , 9781627056168
    Series Statement: Synthesis lectures on visual computing: computer graphics, animation, computational photography, and imaging #26
    Content: Heritage sites across the world have witnessed a number of natural calamities, sabotage and damage from visitors, resulting in their present ruined condition. Many sites are now restricted to reduce the risk of further damage. Yet these masterpieces are significant cultural icons and critical markers of past civilizations that future generations need to see. A digitally reconstructed heritage site could diminish further harm by using immersive navigation or walkthrough systems for virtual environments. An exciting key element for the viewer is observing fine details of the historic work and viewing monuments in their undamaged form. This book presents image superresolution methods and techniques for automatically detecting and inpainting damaged regions in heritage monuments, in order to provide an enhanced visual experience. The book presents techniques to obtain higher resolution photographs of the digitally reconstructed monuments, and the resulting images can serve as input to immersive walkthrough systems. It begins with the discussion of two novel techniques for image super-resolution and an approach for inpainting a user-supplied region in the given image, followed by a technique to simultaneously perform super-resolution and inpainting of given missing regions. It then introduces a method for automatically detecting and repairing the damage to dominant facial regions in statues, followed by a few approaches for automatic crack repair in images of heritage scenes. This book is a giant step toward ensuring that the iconic sites of our past are always available, and will never be truly lost
    Content: Introduction -- Image Super-resolution: Self-learning, Sparsity and Gabor Prior -- Self-learning: Faster, Smarter, Simpler -- An Exemplar-based Inpainting Using an Autoregressive Model -- Attempts to Improve Inpainting -- Simultaneous Inpainting and Super-resolution -- Detecting and Inpainting Damaged Regions in Facial Images of Statues -- Auto-inpainting Cracks in Heritage Scenes -- Challenges and Future Directions
    Note: Includes bibliographical references (pages 135-147)
    Additional Edition: ISBN 9781627059213
    Additional Edition: Print version ISBN 9781627059213
    Language: English
    Keywords: Electronic books
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  • 5
    Online Resource
    Online Resource
    Cambridge : Cambridge University Press
    UID:
    gbv_1046837966
    Format: 1 Online-Ressource
    ISBN: 9781108566285
    Content: Written in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for remotely sensed multi-spectral images. It covers important multi-resolution fusion concepts along with the state-of-the-art methods including super resolution and multi stage guided filters. It includes in depth analysis on degradation estimation, Gabor Prior and Markov Random Field (MRF) Prior. Concepts such as guided filter and difference of Gaussian are discussed comprehensively. Novel techniques in multi-resolution fusion by making use of regularization are explained in detail. It also includes different quality assessment measures used in testing the quality of fusion. Real-life applications and plenty of multi-resolution images are provided in the text for enhanced learning
    Note: Title from publisher's bibliographic system (viewed on 11 Dec 2018)
    Additional Edition: ISBN 9781108475129
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781108475129
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Boca Raton, FL :CRC Press, Taylor & Francis Group,
    UID:
    almahu_9949385399102882
    Format: 1 online resource : , illustrations (black and white)
    ISBN: 9781003088554 , 1003088554 , 9781000472080 , 1000472086 , 9781000472035 , 1000472035
    Content: This comprehensive reference text discusses concepts of cognitive radio and the advances in the field of spectrum sensing. This text discusses the concept of cognitive radio for next generation wireless communication and a very critical aspect of cognitive radio - that is, spectrum sensing - in detail. It covers important topics including narrowband spectrum sensing, wideband spectrum sensing, cooperative spectrum sensing, system and channel models, detection algorithms, approximation of decision statistics and theoretical analysis of detection algorithms in detail. Separate chapters are dedicated to discussing the analysis and use of detection algorithms for narrowband spectrum sensing, wideband spectrum sensing and cooperative wideband spectrum sensing. Aimed at graduate students and academic researchers in the fields of electrical engineering and electronics and communication engineering, this text: Discusses concepts of cognitive radio and research in spectrum sensing. Presents mathematical analysis of algorithms considering practical environment. Explains novel wideband spectrum sensing algorithms with detailed analysis. Provides mathematical derivations to help readers. Discusses basic spectrum sensing algorithms from narrowband spectrum sensing to the more advanced wideband spectrum sensing.
    Additional Edition: Print version: CAPTAIN, KAMAL M. JOSHI, MANJUNATH V. SPECTRUM SENSING FOR COGNITIVE RADIO. [Place of publication not identified] : CRC PRESS, 2021 ISBN 0367542935
    Language: English
    Keywords: Electronic books.
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