[PDF] Neurocomputation In Remote Sensing Data Analysis - eBooks Review

Neurocomputation In Remote Sensing Data Analysis


Neurocomputation In Remote Sensing Data Analysis
DOWNLOAD

Download Neurocomputation In Remote Sensing Data Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Neurocomputation In Remote Sensing Data Analysis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Neurocomputation In Remote Sensing Data Analysis


Neurocomputation In Remote Sensing Data Analysis
DOWNLOAD
Author : Ioannis Kanellopoulos
language : en
Publisher: Springer Science & Business Media
Release Date : 1997

Neurocomputation In Remote Sensing Data Analysis written by Ioannis Kanellopoulos 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 1997 with Business & Economics categories.


Since 1994 the European Commission has been supporting activities under the Environment and Climate programme of research and technological de velopment, with the aim of developing cost-effective applications of satellite Earth observation (EO) for both environmental monitoring and research. This action has included support to methodological research, aimed at the development and evaluation of new techniques forming part ofthe chain of processing needed to transform data into useful information. Wherever appropriate, the Commission has emphasised the coordination of ongoing research funded at the national level, through the mechanism of concerted actions. Concerted actions are flexible and efficient means to marshal efforts at the European level for a certain period. They are proposed by groups of researchers active in a given field who have identified the added value to be gained by European cooperation, whilst continuing to pursue their own individual projects. In view of the rapid developments in the field of neural network over the last 10 years, together with the growing interest ofthe Earth observation community in this approach as a tool for data interpretation, the Commission decided in 1995 to support the concerted action COMPARES, following a proposal from a group of acknowledged European experts.



Neurocomputation In Remote Sensing Data Analysis


Neurocomputation In Remote Sensing Data Analysis
DOWNLOAD
Author : Ioannis Kanellopoulos
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Neurocomputation In Remote Sensing Data Analysis written by Ioannis Kanellopoulos 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 2012-12-06 with Computers categories.


Since 1994 the European Commission has been supporting activities under the Environment and Climate programme of research and technological de velopment, with the aim of developing cost-effective applications of satellite Earth observation (EO) for both environmental monitoring and research. This action has included support to methodological research, aimed at the development and evaluation of new techniques forming part ofthe chain of processing needed to transform data into useful information. Wherever appropriate, the Commission has emphasised the coordination of ongoing research funded at the national level, through the mechanism of concerted actions. Concerted actions are flexible and efficient means to marshal efforts at the European level for a certain period. They are proposed by groups of researchers active in a given field who have identified the added value to be gained by European cooperation, whilst continuing to pursue their own individual projects. In view of the rapid developments in the field of neural network over the last 10 years, together with the growing interest ofthe Earth observation community in this approach as a tool for data interpretation, the Commission decided in 1995 to support the concerted action COMPARES, following a proposal from a group of acknowledged European experts.



Remote Sensing Image Analysis Including The Spatial Domain


Remote Sensing Image Analysis Including The Spatial Domain
DOWNLOAD
Author : Steven M. de Jong
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-26

Remote Sensing Image Analysis Including The Spatial Domain written by Steven M. de Jong 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 2007-07-26 with Science categories.


Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps. The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.



Classification Methods For Remotely Sensed Data


Classification Methods For Remotely Sensed Data
DOWNLOAD
Author : Paul Mather
language : en
Publisher: CRC Press
Release Date : 2001-12-06

Classification Methods For Remotely Sensed Data written by Paul Mather and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-12-06 with Technology & Engineering categories.


Remote sensing is an integral part of geography, GIS and cartography, used by academics in the field and professionals in all sorts of occupations. The 1990s saw the development of a range of new methods of classifying remote sensing images and data, both optical imaging and microwave imaging. This comprehensive survey of the various techniques pul



Classification Methods For Remotely Sensed Data


Classification Methods For Remotely Sensed Data
DOWNLOAD
Author : Taskin Kavzoglu
language : en
Publisher: CRC Press
Release Date : 2024-09-04

Classification Methods For Remotely Sensed Data written by Taskin Kavzoglu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-04 with Technology & Engineering categories.


The third edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data. This book is thoroughly updated to meet the needs of readers today and provides six new chapters on deep learning, feature extraction and selection, multisource image fusion, hyperparameter optimization, accuracy assessment with model explainability, and object-based image analysis, which is relatively a new paradigm in image processing and classification. It presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods. New in this edition: Provides comprehensive background on the theory of deep learning and its application to remote sensing data. Includes a chapter on hyperparameter optimization techniques to guarantee the highest performance in classification applications. Outlines the latest strategies and accuracy measures in accuracy assessment and summarizes accuracy metrics and assessment strategies. Discusses the methods used for explaining inherent structures and weighing the features of ML and AI algorithms that are critical for explaining the robustness of the models. This book is intended for industry professionals, researchers, academics, and graduate students who want a thorough and up-to-date guide to the many and varied techniques of image classification applied in the fields of geography, geospatial and earth sciences, electronic and computer science, environmental engineering, etc.



Neural Networks For Hydrological Modeling


Neural Networks For Hydrological Modeling
DOWNLOAD
Author : Robert Abrahart
language : en
Publisher: CRC Press
Release Date : 2004-05-15

Neural Networks For Hydrological Modeling written by Robert Abrahart and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-15 with Science categories.


A new approach to the fast-developing world of neural hydrological modelling, this book is essential reading for academics and researchers in the fields of water sciences, civil engineering, hydrology and physical geography. Each chapter has been written by one or more eminent experts working in various fields of hydrological modelling. The b



Hyperspectral Imaging


Hyperspectral Imaging
DOWNLOAD
Author :
language : en
Publisher: Elsevier
Release Date : 2019-09-29

Hyperspectral Imaging written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-29 with Science categories.


Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. Users will find state-of-the art information on the machinery for hyperspectral image acquisition, along with a critical assessment of the usage of hyperspectral imaging in diverse scientific fields. - Provides a comprehensive roadmap of hyperspectral image analysis, with benefits and considerations for each method discussed - Covers state-of-the-art applications in different scientific fields - Discusses the implementation of hyperspectral devices in different environments



Transportation Traffic Safety And Health Prevention And Health


Transportation Traffic Safety And Health Prevention And Health
DOWNLOAD
Author : Hans v. Holst
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Transportation Traffic Safety And Health Prevention And Health written by Hans v. Holst 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 2012-12-06 with Business & Economics categories.


Rodney E. Slater Secretary of Transportation, U. S. Department of Transportation know many of you have traveled great distances to be here. I To me, that shows not only your dedication to the cause, but demonstrates how very important transportation safety is becoming throughout the world. So I am very thankful to the main organizers of this third annual conference -- all of whom are from Sweden: Dr. Hans von Holst of the Royal Institute of Technology; Dr. Ake Nygren of the Karolinska Institute; Dr. Ake E. Andersson of the Institute for Futures Studies; and finally, Dr. Arne Witt16v and Lars Anell from AB Volvo. And let me give a special welcome to our friends from Africa. I will be visiting a number of African nations in January. And while my main mission is to promote trade and investment with the United States, we will be talking about safety, too. Airline safety, for example, is a big concern, as Africa grows and prospers and the demand for air travel expands. We discussed it during recent meetings of the International Civil Aviation Organization in Montreal several weeks ago. And we will do so again during my trip. plan to talk about how my department can help the Also, we many nations of Africa improve highway safety. Africa relies heavily on road transportation. But highway fatalities are very high. And the economic costs are very steep, especially for Africa's fragile, emerging v market economies.



Soft Computing For Recognition Based On Biometrics


Soft Computing For Recognition Based On Biometrics
DOWNLOAD
Author : Patricia Melin
language : en
Publisher: Springer
Release Date : 2010-09-30

Soft Computing For Recognition Based On Biometrics written by Patricia Melin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-30 with Technology & Engineering categories.


We describe in this book, bio-inspired models and applications of hybrid intel- gent systems using soft computing techniques for image analysis and pattern r- ognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of classification methods and applications, which are basically papers that propose new models for classification to solve general pr- lems and applications. The second part contains papers with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques, like modular neural networks, for achieving pattern r- ognition based on biometric measures. The third part contains papers with the theme of bio-inspired optimization methods and applications to diverse problems. The fourth part contains papers that deal with general theory and algorithms of bio-inspired methods, like neural networks and evolutionary algorithms. The fifth part contains papers on computer vision applications of soft computing methods. In the part of classification methods and applications there are 5 papers that - scribe different contributions on fuzzy logic and bio-inspired models with appli- tion in classification for medical images and other data.



Advances In Neural Networks Isnn 2009


Advances In Neural Networks Isnn 2009
DOWNLOAD
Author : Wen Yu
language : en
Publisher: Springer
Release Date : 2009-05-20

Advances In Neural Networks Isnn 2009 written by Wen Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-20 with Computers categories.


This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26–29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.