Multi Spectral Signal And Its Processing

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Multi-Spectral Signal and Its Processing

Author : Melinda
Publisher : Syiah Kuala University Press
ISBN 13 : 6232645707
Total Pages : 104 pages
Book Rating : 4.2/5 (326 download)

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Book Synopsis Multi-Spectral Signal and Its Processing by : Melinda

Download or read book Multi-Spectral Signal and Its Processing written by Melinda and published by Syiah Kuala University Press. This book was released on 2022-05-31 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: An event that rises and falls in the peak value of the amplitude of a certain data as measured through the data acquisition process is known as fluctuation. Fluctuations usually occur because the data obtained during the acquisition process is mixed with noise. Therefore, an analytical approach is needed that can process signal fluctuations to identify the characteristics of a material. This study uses an object made of H2O material used as a measurement platform or footing. The other ingredients are H2O mixed with HCl and H2O mixed with NaOH. The initial processing approach is related to the material identification system using a capacitive sensor based on the Impedance Spectroscopy (SI) method. This study aims to develop a method for processing multi-frequency signal fluctuations resulting from data acquisition of Multi-Spectral Capacitive Sensors (MSCS). An approach to representing the observed fluctuations in data acquisition results is based on the statistical mean and standard deviation of the observed noise spectral in a large number of data sets. The results of signal fluctuations are divided into several types, namely: Mean Fluctuation (MF), High Fluctuation (HF), and High High-Fluctuation (HHF). Several approaches are taken for processing fluctuations, such as the data consistency process to see the stability of the data from the initial processing stage. Next is the stage of grouping data with several new approach methods. Another method that we use is the segmentation method which uses several filters that can divide some signals in the form of fluctuation patterns into several segments. From several approach methods that have been carried out, the results show that some of these methods can identify multi-spectral fluctuation patterns so that it will be easier for the next identification process.

Image Processing for Remote Sensing

Author : C.H. Chen
Publisher : CRC Press
ISBN 13 : 142006665X
Total Pages : 417 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Image Processing for Remote Sensing by : C.H. Chen

Download or read book Image Processing for Remote Sensing written by C.H. Chen and published by CRC Press. This book was released on 2007-10-17 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by leaders in the field, with contributions by a panel of experts, Image Processing for Remote Sensing explores new and unconventional mathematics methods. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for

Signal Theory Methods in Multispectral Remote Sensing

Author : David A Landgrebe
Publisher : John Wiley & Sons
ISBN 13 : 0471721255
Total Pages : 528 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Signal Theory Methods in Multispectral Remote Sensing by : David A Landgrebe

Download or read book Signal Theory Methods in Multispectral Remote Sensing written by David A Landgrebe and published by John Wiley & Sons. This book was released on 2005-02-04 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: An outgrowth of the author's extensive experience teaching senior and graduate level students, this is both a thorough introduction and a solid professional reference. * Material covered has been developed based on a 35-year research program associated with such systems as the Landsat satellite program and later satellite and aircraft programs. * Covers existing aircraft and satellite programs and several future programs *An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Hyperspectral Image Analysis

Author : Saurabh Prasad
Publisher : Springer Nature
ISBN 13 : 3030386171
Total Pages : 464 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Hyperspectral Image Analysis by : Saurabh Prasad

Download or read book Hyperspectral Image Analysis written by Saurabh Prasad and published by Springer Nature. This book was released on 2020-04-27 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hyperspectral Data Processing

Author : Chein-I Chang
Publisher : John Wiley & Sons
ISBN 13 : 0471690562
Total Pages : 1180 pages
Book Rating : 4.4/5 (716 download)

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Book Synopsis Hyperspectral Data Processing by : Chein-I Chang

Download or read book Hyperspectral Data Processing written by Chein-I Chang and published by John Wiley & Sons. This book was released on 2013-04-08 with total page 1180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hyperspectral Data Processing: Algorithm Design and Analysis is a culmination of the research conducted in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Specifically, it treats hyperspectral image processing and hyperspectral signal processing as separate subjects in two different categories. Most materials covered in this book can be used in conjunction with the author’s first book, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, without much overlap. Many results in this book are either new or have not been explored, presented, or published in the public domain. These include various aspects of endmember extraction, unsupervised linear spectral mixture analysis, hyperspectral information compression, hyperspectral signal coding and characterization, as well as applications to conceal target detection, multispectral imaging, and magnetic resonance imaging. Hyperspectral Data Processing contains eight major sections: Part I: provides fundamentals of hyperspectral data processing Part II: offers various algorithm designs for endmember extraction Part III: derives theory for supervised linear spectral mixture analysis Part IV: designs unsupervised methods for hyperspectral image analysis Part V: explores new concepts on hyperspectral information compression Parts VI & VII: develops techniques for hyperspectral signal coding and characterization Part VIII: presents applications in multispectral imaging and magnetic resonance imaging Hyperspectral Data Processing compiles an algorithm compendium with MATLAB codes in an appendix to help readers implement many important algorithms developed in this book and write their own program codes without relying on software packages. Hyperspectral Data Processing is a valuable reference for those who have been involved with hyperspectral imaging and its techniques, as well those who are new to the subject.

Mathematical Morphology and Its Applications to Signal and Image Processing

Author : Bernhard Burgeth
Publisher : Springer
ISBN 13 : 3030208672
Total Pages : 19 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Mathematical Morphology and Its Applications to Signal and Image Processing by : Bernhard Burgeth

Download or read book Mathematical Morphology and Its Applications to Signal and Image Processing written by Bernhard Burgeth and published by Springer. This book was released on 2019-06-19 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the refereed proceedings of the 14th International Symposium on Mathematical Morphology, ISMM 2019, held in Saarbrücken, Germany, in July 2019. The 40 revised full papers presented together with one invited talk were carefully reviewed and selected from 54 submissions. The papers are organized in topical sections on Theory, Discrete Topology and Tomography, Trees and Hierarchies, Multivariate Morphology, Computational Morphology, Machine Learning, Segmentation, Applications in Engineering, and Applications in (Bio)medical Imaging.

Optical Remote Sensing

Author : Saurabh Prasad
Publisher : Springer Science & Business Media
ISBN 13 : 3642142125
Total Pages : 344 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Optical Remote Sensing by : Saurabh Prasad

Download or read book Optical Remote Sensing written by Saurabh Prasad and published by Springer Science & Business Media. This book was released on 2011-03-23 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This book presents current state-of-the-art algorithms that address the following key challenges encountered in representation and analysis of such optical remotely sensed data. Challenges in pre-processing images, storing and representing high dimensional data, fusing different sensor modalities, pattern classification and target recognition, visualization of high dimensional imagery.

Signal Theory Methods in Multispectral Remote Sensing

Author : David A Landgrebe
Publisher : John Wiley & Sons
ISBN 13 : 047142028X
Total Pages : 539 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Signal Theory Methods in Multispectral Remote Sensing by : David A Landgrebe

Download or read book Signal Theory Methods in Multispectral Remote Sensing written by David A Landgrebe and published by John Wiley & Sons. This book was released on 2003-01-31 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: An outgrowth of the author's extensive experience teaching senior and graduate level students, this is both a thorough introduction and a solid professional reference. * Material covered has been developed based on a 35-year research program associated with such systems as the Landsat satellite program and later satellite and aircraft programs. * Covers existing aircraft and satellite programs and several future programs *An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage

Author : Antonia Moropoulou
Publisher : Springer
ISBN 13 : 3030129608
Total Pages : 497 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage by : Antonia Moropoulou

Download or read book Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage written by Antonia Moropoulou and published by Springer. This book was released on 2019-02-20 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set CCIS 961 and 962 constitutes the refereed post-conference proceedings of the First International Conference on Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage, TMM_CH 2018, held in Athens, Greece, in October 2018. 73 revised full papers of 237 submissions are included in these volumes. The papers of the first volume are organized in the following topical sections: the project of the rehabilitation of Holy Sepulchre’s Holy Aedicule as a pilot multispectral, multidimensional, novel approach through transdisciplinary and cooperation in the protection of monuments; digital heritage; novel educational approach for the preservation of monuments; resilience to climate change and natural hazards; conserving sustainably the materiality of structures and architectural authenticity; and interdisciplinary preservation and management of cultural heritage. And the papers of the second volume are organized in the following topical sections: sustainable preservation and management lessons learnt on emblematic monuments; cross-discipline earthquake protection and structural assessment of monuments; cultural heritage and pilgrimage tourism; reuse, circular economy and social participation as a leverage for the sustainable preservation and management of historic cities; inception – inclusive cultural heritage in Europe through 3D semantic modelling; heritage at risk; and advanced and non-destructive techniques for diagnosis, design and monitoring.

Real-Time Progressive Hyperspectral Image Processing

Author : Chein-I Chang
Publisher : Springer
ISBN 13 : 1441961879
Total Pages : 623 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Real-Time Progressive Hyperspectral Image Processing by : Chein-I Chang

Download or read book Real-Time Progressive Hyperspectral Image Processing written by Chein-I Chang and published by Springer. This book was released on 2016-03-22 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers the most crucial parts of real-time hyperspectral image processing: causality and real-time capability. Recently, two new concepts of real time hyperspectral image processing, Progressive HyperSpectral Imaging (PHSI) and Recursive HyperSpectral Imaging (RHSI). Both of these can be used to design algorithms and also form an integral part of real time hyperpsectral image processing. This book focuses on progressive nature in algorithms on their real-time and causal processing implementation in two major applications, endmember finding and anomaly detection, both of which are fundamental tasks in hyperspectral imaging but generally not encountered in multispectral imaging. This book is written to particularly address PHSI in real time processing, while a book, Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation (Springer 2016) can be considered as its companion book.

Multispectral Image Processing and Pattern Recognition

Author : Jun Shen
Publisher : World Scientific
ISBN 13 : 9810245939
Total Pages : 135 pages
Book Rating : 4.8/5 (12 download)

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Book Synopsis Multispectral Image Processing and Pattern Recognition by : Jun Shen

Download or read book Multispectral Image Processing and Pattern Recognition written by Jun Shen and published by World Scientific. This book was released on 2001 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Digital Signal Processing Handbook

Author : VIJAY MADISETTI
Publisher : CRC Press
ISBN 13 : 9780849385728
Total Pages : 1792 pages
Book Rating : 4.3/5 (857 download)

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Book Synopsis The Digital Signal Processing Handbook by : VIJAY MADISETTI

Download or read book The Digital Signal Processing Handbook written by VIJAY MADISETTI and published by CRC Press. This book was released on 1997-12-29 with total page 1792 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of digital signal processing (DSP) has spurred developments from basic theory of discrete-time signals and processing tools to diverse applications in telecommunications, speech and acoustics, radar, and video. This volume provides an accessible reference, offering theoretical and practical information to the audience of DSP users. This immense compilation outlines both introductory and specialized aspects of information-bearing signals in digital form, creating a resource relevant to the expanding needs of the engineering community. It also explores the use of computers and special-purpose digital hardware in extracting information or transforming signals in advantageous ways. Impacted areas presented include: Telecommunications Computer engineering Acoustics Seismic data analysis DSP software and hardware Image and video processing Remote sensing Multimedia applications Medical technology Radar and sonar applications This authoritative collaboration, written by the foremost researchers and practitioners in their fields, comprehensively presents the range of DSP: from theory to application, from algorithms to hardware.

Multispectral Image Processing and Pattern Recognition Techniques for Quality Inspection of Apple Fruits

Author : Devrim Unay
Publisher : Presses univ. de Louvain
ISBN 13 : 9782874630415
Total Pages : 148 pages
Book Rating : 4.6/5 (34 download)

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Book Synopsis Multispectral Image Processing and Pattern Recognition Techniques for Quality Inspection of Apple Fruits by : Devrim Unay

Download or read book Multispectral Image Processing and Pattern Recognition Techniques for Quality Inspection of Apple Fruits written by Devrim Unay and published by Presses univ. de Louvain. This book was released on 2006 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

The Future of Hyperspectral Imaging

Author : Stefano Selci
Publisher : MDPI
ISBN 13 : 3039218220
Total Pages : 220 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis The Future of Hyperspectral Imaging by : Stefano Selci

Download or read book The Future of Hyperspectral Imaging written by Stefano Selci and published by MDPI. This book was released on 2019-11-20 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes some very recent applications and the newest emerging trends of hyper-spectral imaging (HSI). HSI is a very recent and strange beast, a sort of a melting pot of previous techniques and scientific interests, merging and concentrating the efforts of physicists, chemists, botanists, biologists, and physicians, to mention just a few, as well as experts in data crunching and statistical elaboration. For almost a century, scientific observation, from looking to planets and stars down to our own cells and below, could be divided into two main categories: analyzing objects on the basis of their physical dimension (recording size, position, weight, etc. and their variations) or on how the object emits, reflects, or absorbs part of the electromagnetic spectrum, i.e., spectroscopy. While the two aspects have been obviously entangled, instruments and skills have always been clearly distinct from each other. With HSI now available, this is no longer the case. This instrument can return specimen dimensionalities and spectroscopic properties to any single pixel of your specimen, in a single set of data. HSI modality is ubiquitous and scale-invariant enough to be used to mark terrestrial resources on the basis of a land map obtained from satellite observation (actually, the oldest application of this type) or to understand if the cell you are looking at is cancerous or perfectly healthy. For all these reasons, HSI represents one of the most exciting methodologies of the new millennium.

Real-Time Recursive Hyperspectral Sample and Band Processing

Author : Chein-I Chang
Publisher : Springer
ISBN 13 : 3319451715
Total Pages : 690 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Real-Time Recursive Hyperspectral Sample and Band Processing by : Chein-I Chang

Download or read book Real-Time Recursive Hyperspectral Sample and Band Processing written by Chein-I Chang and published by Springer. This book was released on 2017-04-23 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. In particular, it makes progressive imaging algorithms recursive by introducing the concept of Kalman filtering in algorithm design so that hyperspectral imagery can be processed not only progressively sample by sample or band by band but also recursively via recursive equations. This book can be considered a companion book of author’s books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.

Hyperspectral Imaging Remote Sensing

Author : Dimitris G. Manolakis
Publisher : Cambridge University Press
ISBN 13 : 1316033406
Total Pages : 701 pages
Book Rating : 4.3/5 (16 download)

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Book Synopsis Hyperspectral Imaging Remote Sensing by : Dimitris G. Manolakis

Download or read book Hyperspectral Imaging Remote Sensing written by Dimitris G. Manolakis and published by Cambridge University Press. This book was released on 2016-10-20 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and self-contained guide to the principles, techniques, models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing, it covers key topics such as sensor design and calibration, atmospheric inversion and model techniques, and processing and exploitation algorithms. Readers will learn how to apply the main algorithms to practical problems, how to choose the best algorithm for a particular application, and how to process and interpret hyperspectral imaging data. A wealth of additional materials accompany the book online, including example projects and data for students, and problem solutions and viewgraphs for instructors. This is an essential text for senior undergraduate and graduate students looking to learn the fundamentals of imaging spectroscopy, and an invaluable reference for scientists and engineers working in the field.

Self-adaptive Software

Author : Paul Robertson
Publisher : Springer Science & Business Media
ISBN 13 : 3540416552
Total Pages : 256 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Self-adaptive Software by : Paul Robertson

Download or read book Self-adaptive Software written by Paul Robertson and published by Springer Science & Business Media. This book was released on 2001-01-30 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-adaptive software evaluates its own behavior and changes its behavior when the evaluation indicates that the software does not accomplish what it is intended to do or when better functionality or better performance is possible. The self-adaptive approach in software engineering builds on well-known features like the use of errors and the handling of exceptions in languages like Lisp or Java and aims at improving the robustness of software systems by gradually adding new features of self-adaption and autonomity. This book originates from the First International Workshop on Self-Adaptive Software, IWSAS 2000, held in Oxford, UK in April 2000. The revised full papers presented in the volume together with an introductory survey by the volume editors assess the state of the art in this emerging new field and set the scene for future research and development work.