Computational Intelligence for Remote Sensing

Computational Intelligence for Remote Sensing

5.1 Introduction The interest in fast and intelligent information retrieval systems over collections of remote sensing images is increasing as the volume of the available data grows exponentially. For instance a single in-orbit ...

Author: Manuel Grana

Publisher: Springer Science & Business Media

ISBN: 9783540793526

Category: Computers

Page: 391

View: 288

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.
Categories: Computers

Computational Intelligence and Intelligent Systems

Computational Intelligence and Intelligent Systems

Applications of Computational Intelligence in Remote Sensing Image Analysis Hengjian Tong, Man Zhao, and Xiang Li Computer Science School, China University of Geosciences(Wuhan) {thj26,zhaoman ...

Author: Zhenhua Li

Publisher: Springer Science & Business Media

ISBN: 9783642049613

Category: Computers

Page: 484

View: 984

Volumes CCIS 51 and LNCS 5812 constitute the proceedings of the Fourth Interational Symposium on Intelligence Computation and Applications, ISICA 2009, held in Huangshi, China, during October 23-25. ISICA 2009 attracted over 300 submissions. Through rigorous reviews, 58 papers were included in LNCS 5821,and 54 papers were collected in CCIS 51. ISICA conferences are one of the first series of international conferences on computational intelligence that combine elements of learning, adaptation, evolution and fuzzy logic to create programs as alternative solutions to artificial intelligence.
Categories: Computers

Proceedings of International Conference on Computational Intelligence and Data Engineering

Proceedings of International Conference on Computational Intelligence and Data Engineering

Gualtieri, J. A., Cromp, R. F.: Support vector machines for hyperspectral remote sensing classification. In: Proc. SPIE, Vol. 3584, pp. 221–232. ... of Nature Inspired Computational Intelligence: A Remote Sensing Perspective.

Author: Nabendu Chaki

Publisher: Springer

ISBN: 9789811063190

Category: Technology & Engineering

Page: 372

View: 891

The book presents high quality research work in cutting edge technologies and most-happening areas of computational intelligence and data engineering. It contains selected papers presented at International Conference on Computational Intelligence and Data Engineering (ICCIDE 2017). The conference was conceived as a forum for presenting and exchanging ideas and results of the researchers from academia and industry onto a common platform and help them develop a comprehensive understanding of the challenges of technological advancements from different viewpoints. This book will help in fostering a healthy and vibrant relationship between academia and industry. The topics of the conference include, but are not limited to collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing.
Categories: Technology & Engineering

Computational Intelligence in Data Mining

Computational Intelligence in Data Mining

Remote. Sensing. Images. Soumya Ranjan Sahu and Sucheta Panda Abstract Artificial intelligence is the blessing to modern computer science which deals with making a machine intelligent. Many technologies are rising rapidly with the ...

Author: Janmenjoy Nayak

Publisher: Springer Nature

ISBN: 9789811694479

Category:

Page:

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Artificial Intelligence Techniques for Satellite Image Analysis

Artificial Intelligence Techniques for Satellite Image Analysis

The main objective of this book is to provide a common platform for diverse concepts in satellite image processing.

Author: D. Jude Hemanth

Publisher: Springer Nature

ISBN: 9783030241780

Category: Computers

Page: 274

View: 693

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.
Categories: Computers

Remote Sensing of Coastal Aquatic Environments

Remote Sensing of Coastal Aquatic Environments

Summary This chapter introduces to the fundamentals of computational intelligence and its applications in remote sensing of coastal aquatic environments. It gives insight into the use of popular computational intelligence paradigms in ...

Author: Richard L. Miller

Publisher: Springer Science & Business Media

ISBN: 9781402031007

Category: Technology & Engineering

Page: 347

View: 524

This book provides extensive insight on remote sensing of coastal waters from aircraft and space-based platforms. The primary focus of the book is optical remote sensing using passive instruments, to measure and analyze the coastal aquatic environment. The authors have gathered information from a variety of sources, to help non-specialists grasp new techniques and technology, to quickly produce useful data
Categories: Technology & Engineering

Computational Intelligence in Software Modeling

Computational Intelligence in Software Modeling

[40] Marin, J., Sole, R. V., 1999, Macroevolutionary algorithms: A new optimization method on fitness landscapes, IEEE Transactions on Evolutionary Computation, 3(4), 272–286. [41] Xu, S., Wu, Y., 2008, An algorithm for remote sensing ...

Author: Vishal Jain

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 9783110709247

Category: Computers

Page: 216

View: 409

Researchers, academicians and professionals expone in this book their research in the application of intelligent computing techniques to software engineering. As software systems are becoming larger and complex, software engineering tasks become increasingly costly and prone to errors. Evolutionary algorithms, machine learning approaches, meta-heuristic algorithms, and others techniques can help the effi ciency of software engineering.
Categories: Computers

Artificial Intelligence and Computational Intelligence

Artificial Intelligence and Computational Intelligence

5 Conclusions Aiming at the multi-spectral remote sensing images classification, LS-SVM model with optimal hyper-parameters are given. Three kinds of optimization algorithms including genetic algorithm, particle swarm optimization and ...

Author: Hepu Deng

Publisher: Springer

ISBN: 9783642238963

Category: Computers

Page: 678

View: 343

This three-volume proceedings contains revised selected papers from the Second International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011, held in Taiyuan, China, in September 2011. The total of 265 high-quality papers presented were carefully reviewed and selected from 1073 submissions. The topics of Part III covered are: machine vision; natural language processing; nature computation; neural computation; neural networks; particle swarm optimization; pattern recognition; rough set theory; and support vector machine.
Categories: Computers

Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing

REFERENCES Bansal, S., & Gupta, D. (2009). Remote Sensing Image Classification by Improved Swarm Inspired Techniques. International Conference on Artificial Intelligence and Pattern Recognition (AIPR-09). Bonabeau, E., Dorigo, M., ...

Author: Haldorai, Anandakumar

Publisher: IGI Global

ISBN: 9781522597520

Category: Computers

Page: 263

View: 390

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.
Categories: Computers