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Computational Intelligence Based Hyperspectral Image Processing


Computational Intelligence Based Hyperspectral Image Processing
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Computational Intelligence Based Hyperspectral Image Processing


Computational Intelligence Based Hyperspectral Image Processing
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Author : Anu Bajaj
language : en
Publisher: Springer Nature
Release Date : 2025-03-25

Computational Intelligence Based Hyperspectral Image Processing written by Anu Bajaj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Computers categories.


Hyperspectral imaging has revolutionized fields ranging from environmental monitoring to medical diagnostics by providing detailed spectral information across vast datasets. However, the complexity and high dimensionality of hyperspectral data pose significant challenges in analysis and interpretation. “Computational Intelligence based Hyperspectral Image Processing" is a comprehensive guide to overcoming these challenges by leveraging the latest computational intelligence techniques. This Volume comprises of 9 chapters that illustrate how computational intelligence-based solutions has been successful to improve efficiency and productivity, quality control, and in enhancing innovation and competitiveness with cost reduction. This book is an essential resource for researchers, professionals, and students working in remote sensing, image processing, and computational intelligence. Whether you're new to the field or looking to deepen your expertise, this book provides the tools and knowledge you need to succeed in the fast-evolving world of hyperspectral imaging.



Computational Intelligence Based Hyperspectral Image Analysis And Applications


Computational Intelligence Based Hyperspectral Image Analysis And Applications
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Author : Anu Bajaj
language : en
Publisher:
Release Date : 2025-03-31

Computational Intelligence Based Hyperspectral Image Analysis And Applications written by Anu Bajaj and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Computers categories.




Computational Intelligence Based Hyperspectral Image Analysis And Applications


Computational Intelligence Based Hyperspectral Image Analysis And Applications
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Author : Anu Bajaj
language : en
Publisher: Springer Nature
Release Date : 2025-09-01

Computational Intelligence Based Hyperspectral Image Analysis And Applications written by Anu Bajaj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-01 with Computers categories.


Computational Intelligence based Hyperspectral Image Analysis and Applications, the second volume in this series, delves into the practical implementation of cutting-edge computational intelligence techniques in hyperspectral imaging, offering a comprehensive exploration of advanced analysis methods and their real-world applications. This volume consists 12 chapters that cover key topics such as classification, segmentation, pan sharpening and a variety of impactful applications. Readers will discover how these techniques are applied in fields like material identification, medical imaging, agriculture, wildfire detection, and remote sensing. This volume brings together an expert group of contributors, whose collective knowledge and practical experience offer readers a unique perspective on how to harness the power of computational intelligence for solving complex challenges in hyperspectral image analysis.



Computational Intelligence Based On Lattice Theory


Computational Intelligence Based On Lattice Theory
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Author : Vassilis G. Kaburlasos
language : en
Publisher: Springer
Release Date : 2007-06-26

Computational Intelligence Based On Lattice Theory written by Vassilis G. Kaburlasos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-26 with Computers categories.


This eighteen-chapter book presents the latest applications of lattice theory in Computational Intelligence (CI). The book focuses on neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The book comes out of a special session held during the World Council for Curriculum and Instruction World Conference (WCCI 2006). The articles presented here demonstrate how lattice theory may suggest viable alternatives in practical clustering, classification, pattern analysis, and regression applications.



Computational Intelligence For Remote Sensing


Computational Intelligence For Remote Sensing
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Author : Manuel Grana
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-05

Computational Intelligence For Remote Sensing written by Manuel Grana and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-05 with Computers categories.


This book is a composition of different points of view regarding the application of Computational Intelligence techniques and methods to Remote Sensing data and applications. It is the general consensus that classification, its related data processing, and global optimization methods are core topics of Computational Intelligence. Much of the content of the book is devoted to image segmentation and recognition, using diverse tools from different areas of the Computational Intelligence field, ranging from Artificial Neural Networks to Markov Random Field modeling. The book covers a broad range of topics, starting from the hardware design of hyperspectral sensors, and data handling problems, namely data compression and watermarking issues, as well as autonomous web services. The main contents of the book are devoted to image analysis and efficient (parallel) implementations of these analysis techniques. The classes of images dealt with throughout the book are mostly multispectral-hyperspectral images, though there are some instances of processing Synthetic Aperture Radar images.



Computational Intelligence For Oncology And Neurological Disorders


Computational Intelligence For Oncology And Neurological Disorders
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Author : Mrutyunjaya Panda
language : en
Publisher: CRC Press
Release Date : 2024-07-15

Computational Intelligence For Oncology And Neurological Disorders written by Mrutyunjaya Panda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-15 with Computers categories.


With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators. The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.



Proceedings Of The Third International Conference On Computational Intelligence And Informatics


Proceedings Of The Third International Conference On Computational Intelligence And Informatics
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Author : K. Srujan Raju
language : en
Publisher: Springer Nature
Release Date : 2020-03-17

Proceedings Of The Third International Conference On Computational Intelligence And Informatics written by K. Srujan Raju and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-17 with Technology & Engineering categories.


This book features high-quality papers presented at the International Conference on Computational Intelligence and Informatics (ICCII 2018), which was held on 28–29 December 2018 at the Department of Computer Science and Engineering, JNTUH College of Engineering, Hyderabad, India. The papers focus on topics such as data mining, wireless sensor networks, parallel computing, image processing, network security, MANETS, natural language processing and Internet of things.



Hyperspectral Image Processing


Hyperspectral Image Processing
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Author : Liguo Wang
language : en
Publisher: Springer
Release Date : 2015-07-15

Hyperspectral Image Processing written by Liguo Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-15 with Technology & Engineering categories.


Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.



Fourth Congress On Intelligent Systems


Fourth Congress On Intelligent Systems
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Author : Sandeep Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-03-30

Fourth Congress On Intelligent Systems written by Sandeep Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-30 with Computers categories.


This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.



Computational Intelligence In Pattern Recognition


Computational Intelligence In Pattern Recognition
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Author : Asit Kumar Das
language : en
Publisher: Springer
Release Date : 2019-08-17

Computational Intelligence In Pattern Recognition written by Asit Kumar Das and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-17 with Technology & Engineering categories.


This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.