Artificial Intelligence Techniques For Satellite Image Analysis

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Artificial Intelligence Techniques for Satellite Image Analysis

D. Jude Hemanth
Artificial Intelligence Techniques for Satellite Image Analysis Book PDF

Author : D. Jude Hemanth
Publisher : Springer Nature
Page : 274 pages
File Size : 49,8 Mb
Release : 2019-11-13
Category : Computers
ISBN : 9783030241780

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Artificial Intelligence Techniques for Satellite Image Analysis by D. Jude Hemanth Pdf

The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.

A New Automatic Processing Technique for Satellite Imagery Analysis

R. S. Hawkins
A New Automatic Processing Technique for Satellite Imagery Analysis Book PDF

Author : R. S. Hawkins
Publisher : Unknown
Page : 74 pages
File Size : 45,7 Mb
Release : 1977
Category : Image processing
ISBN : IND:30000099982195

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A New Automatic Processing Technique for Satellite Imagery Analysis by R. S. Hawkins Pdf

A new approach to the analysis of satellite imagery is presented. The central part of this approach is an algorithm which compresses information stored in the ordinary six or eight bits per picture element into only one bit. The quality of this compression is demonstrated by examples of its application to high resolution visual imagery. Both visual inspection and rms difference criterion are used for this evaluation. There are four objectives of this report which are: to review the status of processing techniques which remove redundant information, to show the need for redundance reduction in the processing of satellite images, to present the development of an algorithm for reducing it, and to show results obtained by application of the algorithm to visual imagery. Also, comments are made on needed developments of the technique and its potential application to problems of analysis of satellite imagery data. (Author).

An Overview of Technological Revolution in Satellite Image Analysis

Jenice Aroma R., Kumudha Raimond
An Overview of Technological Revolution in Satellite Image Analysis Book PDF

Author : Jenice Aroma R., Kumudha Raimond
Publisher : Infinite Study
Page : 5 pages
File Size : 55,9 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 8210379456XXX

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An Overview of Technological Revolution in Satellite Image Analysis by Jenice Aroma R., Kumudha Raimond Pdf

The satellite image based applications are highly utilized nowadays from simple purposes like vehicle navigation to complex surveillance and virtual environment modeling projects. On increased population rate, the depletion of natural resources is highly unavoidable and it leads to increased threats on natural hazards. In order to protect and overcome the physical losses on devastation of properties, the risk mapping models such as weather forecasts, drought modeling and other hazard assessment models are in need.

Satellite Image Analysis: Clustering and Classification

Surekha Borra,Rohit Thanki,Nilanjan Dey
Satellite Image Analysis Clustering and Classification Book PDF

Author : Surekha Borra,Rohit Thanki,Nilanjan Dey
Publisher : Springer
Page : 97 pages
File Size : 46,6 Mb
Release : 2019-02-08
Category : Technology & Engineering
ISBN : 9789811364242

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Satellite Image Analysis: Clustering and Classification by Surekha Borra,Rohit Thanki,Nilanjan Dey Pdf

Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision support systems can facilitate the efforts of data analysts, reduce human error, and allow the rapid and rigorous analysis of land use and land cover information. Integrating Machine Learning (ML) technology with the human visual psychometric can help meet geologists’ demands for more efficient and higher-quality classification in real time. This book introduces readers to key concepts, methods and models for satellite image analysis; highlights state-of-the-art classification and clustering techniques; discusses recent developments and remaining challenges; and addresses various applications, making it a valuable asset for engineers, data analysts and researchers in the fields of geographic information systems and remote sensing engineering.

Artificial Intelligence and Machine Learning in Satellite Data Processing and Services

Sumit Kumar,Raj Setia,Kuldeep Singh
Artificial Intelligence and Machine Learning in Satellite Data Processing and Services Book PDF

Author : Sumit Kumar,Raj Setia,Kuldeep Singh
Publisher : Springer Nature
Page : 219 pages
File Size : 53,8 Mb
Release : 2023-01-02
Category : Technology & Engineering
ISBN : 9789811976988

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Artificial Intelligence and Machine Learning in Satellite Data Processing and Services by Sumit Kumar,Raj Setia,Kuldeep Singh Pdf

This book, Artificial Intelligence and Machine Learning in Satellite: Data Processing and Services, presents the selected proceedings of the International Conference on Small Satellites (ICSS 2022) that aims to provide an opportunity for academicians, scientists, researchers, and industry experts, engaged in teaching, research, and development on satellite data processing and its services by employing advanced artificial intelligence-based machine learning techniques. This book covers the application of artificial intelligence and machine learning techniques in various domains of earth observations like natural resources and environmental management, water resources, urban and rural development, climate change, and other contemporary subjects. The book will surely be a valuable asset for beginners, researchers, and professionals working in satellite data processing and services using artificial intelligence and machine learning approaches.

Advances in Machine Learning and Image Analysis for GeoAI

Saurabh Prasad,Jocelyn Chanussot,Jun Li
Advances in Machine Learning and Image Analysis for GeoAI Book PDF

Author : Saurabh Prasad,Jocelyn Chanussot,Jun Li
Publisher : Elsevier
Page : 366 pages
File Size : 42,6 Mb
Release : 2024-06-01
Category : Science
ISBN : 9780443190780

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Advances in Machine Learning and Image Analysis for GeoAI by Saurabh Prasad,Jocelyn Chanussot,Jun Li Pdf

Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised geospatial image analysis, sensor fusion across modalities, image super-resolution, transfer learning across sensors and time-points, and spectral unmixing among other topics. The chapters in these thematic areas cover a variety of algorithmic frameworks such as variants of convolutional neural networks, graph convolutional networks, multi-stream networks, Bayesian networks, generative adversarial networks, transformers and more.Advances in Machine Learning and Image Analysis for GeoAI provides graduate students, researchers and practitioners in the area of signal processing and geospatial image analysis with the latest techniques to implement deep learning strategies in their research. Covers the latest machine learning and signal processing techniques that can effectively leverage geospatial imagery at scale Presents a variety of algorithmic frameworks, including variants of convolutional neural networks, multi-stream networks, Bayesian networks, and more Includes open-source code-base for algorithms described in each chapter

Big Data Analytics for Satellite Image Processing and Remote Sensing

Swarnalatha, P.,Sevugan, Prabu
Big Data Analytics for Satellite Image Processing and Remote Sensing Book PDF

Author : Swarnalatha, P.,Sevugan, Prabu
Publisher : IGI Global
Page : 253 pages
File Size : 40,5 Mb
Release : 2018-03-09
Category : Technology & Engineering
ISBN : 9781522536444

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Big Data Analytics for Satellite Image Processing and Remote Sensing by Swarnalatha, P.,Sevugan, Prabu Pdf

The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.

Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation

Maria Pia Del Rosso,Alessandro Sebastianelli,Silvia Liberata Ullo
Artificial Intelligence Applied to Satellite based Remote Sensing Data for Earth Observation Book PDF

Author : Maria Pia Del Rosso,Alessandro Sebastianelli,Silvia Liberata Ullo
Publisher : IET
Page : 283 pages
File Size : 51,6 Mb
Release : 2021-09-14
Category : Computers
ISBN : 9781839532122

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Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation by Maria Pia Del Rosso,Alessandro Sebastianelli,Silvia Liberata Ullo Pdf

This book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for the implementation of artificial intelligence that encompass different aspects of research.

Remote Sensing Digital Image Analysis

John A. Richards
Remote Sensing Digital Image Analysis Book PDF

Author : John A. Richards
Publisher : Springer Science & Business Media
Page : 494 pages
File Size : 52,6 Mb
Release : 2012-09-13
Category : Technology & Engineering
ISBN : 9783642300622

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Remote Sensing Digital Image Analysis by John A. Richards Pdf

Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same. This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image processing in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter.

A New Automatic Processing Technique for Satellite Imagery Analysis

R. S. Hawkins
A New Automatic Processing Technique for Satellite Imagery Analysis Book PDF

Author : R. S. Hawkins
Publisher : Unknown
Page : 70 pages
File Size : 54,6 Mb
Release : 1977
Category : Image processing
ISBN : UOM:39015095137819

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A New Automatic Processing Technique for Satellite Imagery Analysis by R. S. Hawkins Pdf

A new approach to the analysis of satellite imagery is presented. The central part of this approach is an algorithm which compresses information stored in the ordinary six or eight bits per picture element into only one bit. The quality of this compression is demonstrated by examples of its application to high resolution visual imagery. Both visual inspection and rms difference criterion are used for this evaluation. There are four objectives of this report which are: to review the status of processing techniques which remove redundant information, to show the need for redundance reduction in the processing of satellite images, to present the development of an algorithm for reducing it, and to show results obtained by application of the algorithm to visual imagery. Also, comments are made on needed developments of the technique and its potential application to problems of analysis of satellite imagery data. (Author).

Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications

D. Jude Hemanth
Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications Book PDF

Author : D. Jude Hemanth
Publisher : Elsevier
Page : 296 pages
File Size : 47,7 Mb
Release : 2024-01-25
Category : Computers
ISBN : 9780443220104

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Computational Intelligence Methods for Sentiment Analysis in Natural Language Processing Applications by D. Jude Hemanth Pdf

Sentiment Analysis has become increasingly important in recent years for nearly all online applications. Sentiment Analysis depends heavily on Artificial Intelligence (AI) technology wherein computational intelligence approaches aid in deriving the opinions/emotions of human beings. With the vast increase in Big Data, computational intelligence approaches have become a necessity for Natural Language Processing and Sentiment Analysis in a wide range of decision-making application areas. The applications of Sentiment Analysis are enormous, ranging from business to biomedical and clinical applications. However, the combination of AI methods and Sentiment Analysis is one of the rarest commodities in the literature. The literatures either gives more importance to the application alone or to the AI/CI methodology. Computational Intelligence for Sentiment Analysis in Natural Language Processing Applications provides a solution to this problem through detailed technical coverage of AI-based Sentiment Analysis methods for various applications. The authors provide readers with an in-depth look at the challenges and solutions associated with the different types of Sentiment Analysis, including case studies and real-world scenarios from across the globe. Development of scientific and enterprise applications are covered, which will aid computer scientists in building practical/real-world AI-based Sentiment Analysis systems. Includes basic concepts, technical explanations, and case studies for in-depth explanation of the Sentiment Analysis Aids computer scientists in developing practical/real-world AI-based Sentiment Analysis systems Provides readers with real-world development applications of AI-based Sentiment Analysis, including transfer learning for opinion mining from pandemic medical data, sarcasm detection using neural networks in human-computer interaction, and emotion detection using the random-forest algorithm

Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016)

Hui Yang
Artificial Intelligence Science And Technology Proceedings Of The 2016 International Conference Aist2016 Book PDF

Author : Hui Yang
Publisher : #N/A
Page : 844 pages
File Size : 43,5 Mb
Release : 2017-06-28
Category : Computers
ISBN : 9789813206830

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Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016) by Hui Yang Pdf

The 2016 International Conference on Artificial Intelligence Science and Technology (AIST2016) was held in Shanghai, China, from 15th to 17th July, 2016.AIST2016 aims to bring together researchers, engineers, and students to the areas of Artificial Intelligence Science and Technology. AIST2016 features unique mixed topics of artificial intelligence and application, computer and software, communication and network, information and security, data mining, and optimization.This volume consists of 101 peer-reviewed articles by local and foreign eminent scholars which cover the frontiers and state-of-art development in AI Technology.

Handbook of Artificial Intelligence Techniques in Photovoltaic Systems

Adel Mellit,Soteris Kalogirou
Handbook of Artificial Intelligence Techniques in Photovoltaic Systems Book PDF

Author : Adel Mellit,Soteris Kalogirou
Publisher : Academic Press
Page : 376 pages
File Size : 46,5 Mb
Release : 2022-06-23
Category : Technology & Engineering
ISBN : 9780128206423

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Handbook of Artificial Intelligence Techniques in Photovoltaic Systems by Adel Mellit,Soteris Kalogirou Pdf

Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modelling, Control, Optimization, Forecasting and Fault Diagnosis provides readers with a comprehensive and detailed overview of the role of artificial intelligence in PV systems. Covering up-to-date research and methods on how, when and why to use and apply AI techniques in solving most photovoltaic problems, this book will serve as a complete reference in applying intelligent techniques and algorithms to increase PV system efficiency. Sections cover problem-solving data for challenges, including optimization, advanced control, output power forecasting, fault detection identification and localization, and more. Supported by the use of MATLAB and Simulink examples, this comprehensive illustration of AI-techniques and their applications in photovoltaic systems will provide valuable guidance for scientists and researchers working in this area. Includes intelligent methods in real-time using reconfigurable circuits FPGAs, DSPs and MCs Discusses the newest trends in AI forecasting, optimization and control applications Features MATLAB and Simulink examples highlighted throughout

Intelligent Fractal-Based Image Analysis

Soumya Ranjan Nayak,Janmenjoy Nayak,Khan Muhammad,Yeliz Karaca
Intelligent Fractal Based Image Analysis Book PDF

Author : Soumya Ranjan Nayak,Janmenjoy Nayak,Khan Muhammad,Yeliz Karaca
Publisher : Elsevier
Page : 320 pages
File Size : 54,6 Mb
Release : 2024-06-14
Category : Computers
ISBN : 9780443184697

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Intelligent Fractal-Based Image Analysis by Soumya Ranjan Nayak,Janmenjoy Nayak,Khan Muhammad,Yeliz Karaca Pdf

Fractals are infinite, complex patterns used in modeling physical and dynamic systems. Fractal theory research has increased across different fields of applications including engineering science, health science, and social science. Recent literature shows the vital role fractals play in digital image analysis, specifically in biomedical image processing. Fractal graphics is an interdisciplinary field that deals with how computers can be used to gain high-level understanding from digital images. Integrating artificial intelligence with fractal characteristics has resulted in new interdisciplinary research in the fields of pattern recognition and image processing analysis. Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research findings on fractal graphics in engineering and science applications. The book aims to improve the exchange of ideas and coherence between various core computing methods and highlight the relevance of related application areas for advanced as well as novice-user application. The book presents an in-depth look at core concepts, methodological aspects, and advanced feature opportunities, focusing on major real time applications in engineering science and health science. The book will appeal to researchers, data scientists, industry professionals, and graduate students in the fields of fractal graphics and its related applications. Investigates advanced fractal theories spanning neural networks, fuzzy logic, machine learning, deep learning, and hybrid intelligent systems in solving pattern recognition problems Explores the application of fractal theories to a wide range of medical image processing modalities Presents case studies that illustrate the application and integration of fractal theories into intelligent computing in the resolution of important pattern recognition and machine vision problems

Change Detection and Image Time Series Analysis 2

Abdourrahmane M. Atto,Francesca Bovolo,Lorenzo Bruzzone
Change Detection and Image Time Series Analysis 2 Book PDF

Author : Abdourrahmane M. Atto,Francesca Bovolo,Lorenzo Bruzzone
Publisher : John Wiley & Sons
Page : 274 pages
File Size : 48,5 Mb
Release : 2021-12-29
Category : Computers
ISBN : 9781789450576

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Change Detection and Image Time Series Analysis 2 by Abdourrahmane M. Atto,Francesca Bovolo,Lorenzo Bruzzone Pdf

Change Detection and Image Time Series Analysis 2 presents supervised machine-learning-based methods for temporal evolution analysis by using image time series associated with Earth observation data. Chapter 1 addresses the fusion of multisensor, multiresolution and multitemporal data. It proposes two supervised solutions that are based on a Markov random field: the first relies on a quad-tree and the second is specifically designed to deal with multimission, multifrequency and multiresolution time series. Chapter 2 provides an overview of pixel based methods for time series classification, from the earliest shallow learning methods to the most recent deep-learning-based approaches. Chapter 3 focuses on very high spatial resolution data time series and on the use of semantic information for modeling spatio-temporal evolution patterns. Chapter 4 centers on the challenges of dense time series analysis, including pre processing aspects and a taxonomy of existing methodologies. Finally, since the evaluation of a learning system can be subject to multiple considerations, Chapters 5 and 6 offer extensive evaluations of the methodologies and learning frameworks used to produce change maps, in the context of multiclass and/or multilabel change classification issues.