Real Time Progressive Hyperspectral Image Processing

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Real-Time Progressive Hyperspectral Image Processing

Author : Chein-I Chang
Publisher : Springer
Page : 623 pages
File Size : 43,6 Mb
Release : 2016-03-22
Category : Technology & Engineering
ISBN : 9781441961877

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Real-Time Progressive Hyperspectral Image Processing by Chein-I Chang Pdf

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.

Real Time Hyperspectral Image Processing

Author : Chein-I Chang
Publisher : Springer
Page : 490 pages
File Size : 55,9 Mb
Release : 2016-01-06
Category : Technology & Engineering
ISBN : 1441961887

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Real Time Hyperspectral Image Processing by Chein-I Chang Pdf

This book focuses on architecture and implementation of algorithms, specifically on their real-time and causal processing implementation, architectures of FPGA design and parallel processing. It concludes with applications to multispectral imaging and medical imaging. All these topics have great potential in and impact on hyperspectral data communications and hardware implementation.

Real-Time Recursive Hyperspectral Sample and Band Processing

Author : Chein-I Chang
Publisher : Springer
Page : 690 pages
File Size : 49,8 Mb
Release : 2017-04-23
Category : Technology & Engineering
ISBN : 9783319451718

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Real-Time Recursive Hyperspectral Sample and Band Processing by Chein-I Chang Pdf

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.

Processing of Hyperspectral Medical Images

Author : Robert Koprowski
Publisher : Springer
Page : 127 pages
File Size : 53,8 Mb
Release : 2016-12-01
Category : Technology & Engineering
ISBN : 9783319504902

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Processing of Hyperspectral Medical Images by Robert Koprowski Pdf

This book presents new methods of analyzing and processing hyperspectral medical images, which can be used in diagnostics, for example for dermatological images. The algorithms proposed are fully automatic and the results obtained are fully reproducible. Their operation was tested on a set of several thousands of hyperspectral images and they were implemented in Matlab. The presented source code can be used without licensing restrictions. This is a valuable resource for computer scientists, bioengineers, doctoral students, and dermatologists interested in contemporary analysis methods.

Advances in Hyperspectral Image Processing Techniques

Author : Chein-I Chang
Publisher : John Wiley & Sons
Page : 612 pages
File Size : 45,5 Mb
Release : 2022-11-09
Category : Technology & Engineering
ISBN : 9781119687771

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Advances in Hyperspectral Image Processing Techniques by Chein-I Chang Pdf

Advances in Hyperspectral Image Processing Techniques Authoritative and comprehensive resource covering recent hyperspectral imaging techniques from theory to applications Advances in Hyperspectral Image Processing Techniques is derived from recent developments of hyperspectral imaging (HSI) techniques along with new applications in the field, covering many new ideas that have been explored and have led to various new directions in the past few years. The work gathers an array of disparate research into one resource and explores its numerous applications across a wide variety of disciplinary areas. In particular, it includes an introductory chapter on fundamentals of HSI and a chapter on extensive use of HSI techniques in satellite on-orbit and on-board processing to aid readers involved in these specific fields. The book’s content is based on the expertise of invited scholars and is categorized into six parts. Part I provides general theory. Part II presents various Band Selection techniques for Hyperspectral Images. Part III reviews recent developments on Compressive Sensing for Hyperspectral Imaging. Part IV includes Fusion of Hyperspectral Images. Part V covers Hyperspectral Data Unmixing. Part VI offers different views on Hyperspectral Image Classification. Specific sample topics covered in Advances in Hyperspectral Image Processing Techniques include: Two fundamental principles of hyperspectral imaging Constrained band selection for hyperspectral imaging and class information-based band selection for hyperspectral image classification Restricted entropy and spectrum properties for hyperspectral imaging and endmember finding in compressively sensed band domain Hyperspectral and LIDAR data fusion, fusion of band selection methods for hyperspectral imaging, and fusion using multi-dimensional information Advances in spectral unmixing of hyperspectral data and fully constrained least squares linear spectral mixture analysis Sparse representation-based hyperspectral image classification; collaborative hyperspectral image classification; class-feature weighted hyperspectral image classification; target detection approach to hyperspectral image classification With many applications beyond traditional remote sensing, ranging from defense and intelligence, to agriculture, to forestry, to environmental monitoring, to food safety and inspection, to medical imaging, Advances in Hyperspectral Image Processing Techniques is an essential resource on the topic for industry professionals, researchers, academics, and graduate students working in the field.

Computer Vision and Image Processing

Author : Neeta Nain,Santosh Kumar Vipparthi,Balasubramanian Raman
Publisher : Springer Nature
Page : 440 pages
File Size : 55,8 Mb
Release : 2020-03-28
Category : Computers
ISBN : 9789811540158

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Computer Vision and Image Processing by Neeta Nain,Santosh Kumar Vipparthi,Balasubramanian Raman Pdf

This two-volume set (CCIS 1147, CCIS 1148) constitutes the refereed proceedings of the 4th International Conference on Computer Vision and Image Processing. held in Jaipur, India, in September 2019. The 73 full papers and 10 short papers were carefully reviewed and selected from 202 submissions. The papers are organized according to the following topics:​ Part I: Biometrics; Computer Forensic; Computer Vision; Dimension Reduction; Healthcare Information Systems; Image Processing; Image segmentation; Information Retrieval; Instance based learning; Machine Learning.Part II: ​Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and Privacy; Unsupervised Clustering.

Hyperspectral Imaging

Author : Chein-I Chang
Publisher : Springer Science & Business Media
Page : 372 pages
File Size : 53,5 Mb
Release : 2013-12-11
Category : Computers
ISBN : 9781441991706

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Hyperspectral Imaging by Chein-I Chang Pdf

Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic and can be considered a recipe book offering various techniques for hyperspectral data exploitation. In particular, some known techniques, such as OSP (Orthogonal Subspace Projection) and CEM (Constrained Energy Minimization) that were previously developed in the RSSIPL, are discussed in great detail. This book is self-contained and can serve as a valuable and useful reference for researchers in academia and practitioners in government and industry.

Hyperspectral Data Processing

Author : Chein-I Chang
Publisher : John Wiley & Sons
Page : 1180 pages
File Size : 53,6 Mb
Release : 2013-04-08
Category : Technology & Engineering
ISBN : 9780471690566

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Hyperspectral Data Processing by Chein-I Chang Pdf

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.

Image and Graphics

Author : Huchuan Lu,Wanli Ouyang,Hui Huang,Jiwen Lu,Risheng Liu,Jing Dong,Min Xu
Publisher : Springer Nature
Page : 433 pages
File Size : 41,7 Mb
Release : 2023-11-29
Category : Computers
ISBN : 9783031463112

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Image and Graphics by Huchuan Lu,Wanli Ouyang,Hui Huang,Jiwen Lu,Risheng Liu,Jing Dong,Min Xu Pdf

The five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023. The 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. They were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality. The ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-class plenary speakers, exhibits, and high-quality peer reviewed oral and poster presentations.

Science, Engineering Management and Information Technology

Author : Abolfazl Mirzazadeh,Babek Erdebilli,Erfan Babaee Tirkolaee,Gerhard-Wilhelm Weber,Arpan Kumar Kar
Publisher : Springer Nature
Page : 410 pages
File Size : 51,8 Mb
Release : 2023-08-20
Category : Computers
ISBN : 9783031403958

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Science, Engineering Management and Information Technology by Abolfazl Mirzazadeh,Babek Erdebilli,Erfan Babaee Tirkolaee,Gerhard-Wilhelm Weber,Arpan Kumar Kar Pdf

This two-volume set constitutes selected papers presented during the First First International Conference on Science, Engineering Management and Information Technology, SEMIT 2022, held virtually in Ankara, Turkey, in February 2–3, 2022 and in September 8-9, 2022. The 37 papers presented were carefully reviewed and selected from the 261 qualified submissions. The papers are organized in the following topical sections: application of computer science and technology in operations and supply chain management; advances of engineering technology and Artificial Intelligence in application management; human factors management systems based on information technology; technology-aided decision-making: systems, applications, and modern solutions.

Image Processing for Remote Sensing

Author : C.H. Chen
Publisher : CRC Press
Page : 417 pages
File Size : 54,5 Mb
Release : 2007-10-17
Category : Technology & Engineering
ISBN : 9781420066654

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Image Processing for Remote Sensing by C.H. Chen Pdf

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

Hyperspectral Imaging in Agriculture, Food and Environment

Author : Alejandro Isabel Luna Maldonado,Humberto Rodriguez-Fuentes,Juan Antonio Vidales Contreras
Publisher : BoD – Books on Demand
Page : 186 pages
File Size : 44,6 Mb
Release : 2018-08-01
Category : Technology & Engineering
ISBN : 9781789232905

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Hyperspectral Imaging in Agriculture, Food and Environment by Alejandro Isabel Luna Maldonado,Humberto Rodriguez-Fuentes,Juan Antonio Vidales Contreras Pdf

This book is about the novel aspects and future trends of the hyperspectral imaging in agriculture, food, and environment. The topics covered by this book are hyperspectral imaging and their applications in the nondestructive quality assessment of fruits and vegetables, hyperspectral imaging for assessing quality and safety of meat, multimode hyperspectral imaging for food quality and safety, models fitting to pattern recognition in hyperspectral images, sequential classification of hyperspectral images, graph construction for hyperspectral data unmixing, target visualization method to process hyperspectral image, and soil contamination mapping with hyperspectral imagery. This book is a general reference work for students, professional engineers, and readers with interest in the subject.

Frontiers of Remote Sensing Information Processing

Author : C. H. Chen
Publisher : World Scientific
Page : 629 pages
File Size : 51,9 Mb
Release : 2003
Category : Technology & Engineering
ISBN : 9789812796752

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Frontiers of Remote Sensing Information Processing by C. H. Chen Pdf

Written by leaders in the field of remote sensing information processing, this book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern recognition with remote sensing data. Sensor and data fusion issues, SAR images, hyperspectral images, and related special topics are also examined. Techniques making use of neural networks, wavelet transforms, and knowledge-based systems are emphasized. A special set of three chapters is devoted to seismic analysis and discrimination. In summary, the book provides an authoritative treatment of major topics in remote sensing information processing and defines new frontiers for these areas. Contents: Data Mining; SAR Image Processing; Wavelet Analysis and Applications; Military Applications of Remote Sensing; Microwave Remote Sensing; Statistical Pattern Recognition; Automatic Target Segmentation; Neural Networks; Change Detection; Seismic Signal Processing; Time Series Prediction; Image Compression; Emerging Topics. Readership: Engineers and scientists dealing with remote sensing data in particular, and signals and images in general; computer scientists involved in software development on geophysical data analysis.

Recent Advances in Computer Vision Applications Using Parallel Processing

Author : Khalid M. Hosny,Ahmad Salah
Publisher : Springer Nature
Page : 126 pages
File Size : 42,6 Mb
Release : 2023-01-23
Category : Technology & Engineering
ISBN : 9783031187353

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Recent Advances in Computer Vision Applications Using Parallel Processing by Khalid M. Hosny,Ahmad Salah Pdf

This comprehensive book is primarily intended for researchers, computer vision specialists, and high-performance computing specialists who are interested in parallelizing computer vision techniques for the sake of accelerating the run-time of computer vision methods. This book covers different penalization methods on different parallel architectures such as multi-core CPUs and GPUs. It is also a valuable reference resource for researchers at all levels (e.g., undergraduate and postgraduate) who are seeking real-life examples of speeding up the computer vision methods’ run-time.

Color Image and Video Enhancement

Author : Emre Celebi,Michela Lecca,Bogdan Smolka
Publisher : Springer
Page : 393 pages
File Size : 47,6 Mb
Release : 2015-09-16
Category : Technology & Engineering
ISBN : 9783319093635

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Color Image and Video Enhancement by Emre Celebi,Michela Lecca,Bogdan Smolka Pdf

This text covers state-of-the-art color image and video enhancement techniques. The book examines the multivariate nature of color image/video data as it pertains to contrast enhancement, color correction (equalization, harmonization, normalization, balancing, constancy, etc.), noise removal and smoothing. This book also discusses color and contrast enhancement in vision sensors and applications of image and video enhancement.