Support Vector Machines For Broad Area Feature Classification In Remotely Sensed Images

Download Support Vector Machines For Broad Area Feature Classification In Remotely Sensed Images full books in PDF, epub, and Kindle. Read online Support Vector Machines For Broad Area Feature Classification In Remotely Sensed Images ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Computer Analysis of Images and Patterns

Author : Nicolai Petkov
Publisher : Springer Science & Business Media
ISBN 13 : 3540407308
Total Pages : 797 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!

Book Synopsis Computer Analysis of Images and Patterns by : Nicolai Petkov

Download or read book Computer Analysis of Images and Patterns written by Nicolai Petkov and published by Springer Science & Business Media. This book was released on 2003-08-14 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Computer Analysis of Images and Patterns, CAIP 2003, held in Groningen, The Netherlands in August 2003. The 94 revised papers presented were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on analysis and understanding, video analysis, segmentation, shape, classification, face recognition, interpolation and spatial transformations, and filtering.

Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery

Author :
Publisher :
ISBN 13 :
Total Pages : 622 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery by :

Download or read book Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery written by and published by . This book was released on 2001 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Biomedical Photonics Handbook

Author : Tuan Vo-Dinh
Publisher : CRC Press
ISBN 13 : 9780849311161
Total Pages : 1918 pages
Book Rating : 4.3/5 (111 download)

DOWNLOAD NOW!

Book Synopsis Biomedical Photonics Handbook by : Tuan Vo-Dinh

Download or read book Biomedical Photonics Handbook written by Tuan Vo-Dinh and published by CRC Press. This book was released on 2003-03-26 with total page 1918 pages. Available in PDF, EPUB and Kindle. Book excerpt: A wide variety of biomedical photonic technologies have been developed recently for clinical monitoring of early disease states; molecular diagnostics and imaging of physiological parameters; molecular and genetic biomarkers; and detection of the presence of pathological organisms or biochemical species of clinical importance. However, available information on this rapidly growing field is fragmented among a variety of journals and specialized books. Now researchers and medical practitioners have an authoritative and comprehensive source for the latest research and applications in biomedical photonics. Over 150 leading scientists, engineers, and physicians discuss state-of-the-art instrumentation, methods, and protocols in the Biomedical Photonics Handbook. Editor-in-Chief Tuan Vo-Dinh and an advisory board of distinguished scientists and medical experts ensure that each of the 65 chapters represents the latest and most accurate information currently available.

Classification Methods for Remotely Sensed Data

Author : Paul Mather
Publisher : CRC Press
ISBN 13 : 9780203303566
Total Pages : 358 pages
Book Rating : 4.3/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Classification Methods for Remotely Sensed Data by : Paul Mather

Download or read book Classification Methods for Remotely Sensed Data written by Paul Mather and published by CRC Press. This book was released on 2001-12-06 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Big Data Analytics for Satellite Image Processing and Remote Sensing

Author : Swarnalatha, P.
Publisher : IGI Global
ISBN 13 : 1522536442
Total Pages : 272 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics for Satellite Image Processing and Remote Sensing by : Swarnalatha, P.

Download or read book Big Data Analytics for Satellite Image Processing and Remote Sensing written by Swarnalatha, P. and published by IGI Global. This book was released on 2018-03-09 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Information Processing

Author : Derong Liu
Publisher : Springer
ISBN 13 : 3319700871
Total Pages : 951 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Neural Information Processing by : Derong Liu

Download or read book Neural Information Processing written by Derong Liu and published by Springer. This book was released on 2017-11-07 with total page 951 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.

Building Feature Extraction with Machine Learning

Author : Bharath.H. Aithal
Publisher : CRC Press
ISBN 13 : 1000817199
Total Pages : 145 pages
Book Rating : 4.0/5 (8 download)

DOWNLOAD NOW!

Book Synopsis Building Feature Extraction with Machine Learning by : Bharath.H. Aithal

Download or read book Building Feature Extraction with Machine Learning written by Bharath.H. Aithal and published by CRC Press. This book was released on 2022-12-29 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big geospatial datasets created by large infrastructure projects require massive computing resources to process. Feature extraction is a process used to reduce the initial set of raw data for manageable image processing, and machine learning (ML) is the science that supports it. This book focuses on feature extraction methods for optical geospatial data using ML. It is a practical guide for professionals and graduate students who are starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies on how to collect height values for spatial features, how to develop 3D models in a map context, and others. Features Provides the basics of feature extraction methods and applications along with the fundamentals of machine learning Discusses in detail the application of machine learning techniques in geospatial building feature extraction Explains the methods for estimating object height from optical satellite remote sensing images using Python Includes case studies that demonstrate the use of machine learning models for building footprint extraction and photogrammetric methods for height assessment Highlights the potential of machine learning and geospatial technology for future project developments This book will be of interest to professionals, researchers, and graduate students in geoscience and earth observation, machine learning and data science, civil engineers, and urban planners.

International Journal of Advanced Remote Sensing and GIS

Author : Cloud Publications
Publisher : Cloud Publications
ISBN 13 :
Total Pages : 3465 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis International Journal of Advanced Remote Sensing and GIS by : Cloud Publications

Download or read book International Journal of Advanced Remote Sensing and GIS written by Cloud Publications and published by Cloud Publications. This book was released on 2012-01-01 with total page 3465 pages. Available in PDF, EPUB and Kindle. Book excerpt: International Journal of Advanced Remote Sensing and GIS (IJARSG, ISSN 2320 – 0243) is an open-access peer-reviewed scholarly journal publishes original research papers, reviews, case study, case reports, and methodology articles in all aspects of Remote Sensing and GIS including associated fields. This Journal commits to working for quality and transparency in its publishing by following standard Publication Ethics and Policies.

Biomedical Optical Imaging

Author : James G. Fujimoto
Publisher : Oxford University Press
ISBN 13 : 0190287780
Total Pages : 440 pages
Book Rating : 4.1/5 (92 download)

DOWNLOAD NOW!

Book Synopsis Biomedical Optical Imaging by : James G. Fujimoto

Download or read book Biomedical Optical Imaging written by James G. Fujimoto and published by Oxford University Press. This book was released on 2009-04-22 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical optical imaging is a rapidly emerging research area with widespread fundamental research and clinical applications. This book gives an overview of biomedical optical imaging with contributions from leading international research groups who have pioneered many of these techniques and applications. A unique research field spanning the microscopic to the macroscopic, biomedical optical imaging allows both structural and functional imaging. Techniques such as confocal and multiphoton microscopy provide cellular level resolution imaging in biological systems. The integration of this technology with exogenous chromophores can selectively enhance contrast for molecular targets as well as supply functional information on processes such as nerve transduction. Novel techniques integrate microscopy with state-of-the-art optics technology, and these include spectral imaging, two photon fluorescence correlation, nonlinear nanoscopy; optical coherence tomography techniques allow functional, dynamic, nanoscale, and cross-sectional visualization. Moving to the macroscopic scale, spectroscopic assessment and imaging methods such as fluorescence and light scattering can provide diagnostics of tissue pathology including neoplastic changes. Techniques using light diffusion and photon migration are a means to explore processes which occur deep inside biological tissues and organs. The integration of these techniques with exogenous probes enables molecular specific sensitivity.

Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass

Author : José Aranha
Publisher : MDPI
ISBN 13 : 3036505687
Total Pages : 276 pages
Book Rating : 4.0/5 (365 download)

DOWNLOAD NOW!

Book Synopsis Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass by : José Aranha

Download or read book Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass written by José Aranha and published by MDPI. This book was released on 2021-09-01 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Special Issue (SI), entitled "Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass”, resulted from 13 peer-reviewed papers dedicated to Forestry and Biomass mapping, characterization and accounting. The papers' authors presented improvements in Remote Sensing processing techniques on satellite images, drone-acquired images and LiDAR images, both aerial and terrestrial. Regarding the images’ classification models, all authors presented supervised methods, such as Random Forest, complemented by GIS routines and biophysical variables measured on the field, which were properly georeferenced. The achieved results enable the statement that remote imagery could be successfully used as a data source for regression analysis and formulation and, in this way, used in forestry actions such as canopy structure analysis and mapping, or to estimate biomass. This collection of papers, presented in the form of a book, brings together 13 articles covering various forest issues and issues in forest biomass calculation, constituting an important work manual for those who use mixed GIS and RS techniques.

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 303059338X
Total Pages : 648 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges by : Aboul Ella Hassanien

Download or read book Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-12-14 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis

Author : Lu, Zhongyu
Publisher : IGI Global
ISBN 13 : 179987317X
Total Pages : 263 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis by : Lu, Zhongyu

Download or read book Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis written by Lu, Zhongyu and published by IGI Global. This book was released on 2021-05-28 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer continues to be a growing problem as it is the foremost cause of death worldwide, killing millions of people each year. The number of people battling cancer continues to increase, owing to different reasons, such as lifestyle choices. Clinically, determining the cause of cancer is very challenging and often inaccurate. Incorporating efficient and accurate algorithms to detect cancer cases is becoming increasingly beneficial for scientists in computer science and healthcare, as well as a long-term benefit for doctors, patients, clinic practitioners, and more. Specifically, an automation of computation in machine learning could be a solution in the next generation of big data science technology. Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis presents algorithms that have been developed to evaluate big data approaches and cancer research. The chapters include artificial intelligence and machine learning approaches, as well as case studies to solve the predictive issues in colon cancer research. This book includes concepts and techniques used to run tasks in an automated manner with the intent to improve better accuracy in comparison with previous studies and methods. This book also covers the processes of research design, development, and outcome analytics in this field. Doctors, IT consultants, IT specialists, medical software professionals, data scientists, researchers, computer scientists, healthcare practitioners, academicians, and students can benefit from this critical resource.

Learning to Understand Remote Sensing Images

Author : Qi Wang
Publisher : MDPI
ISBN 13 : 3038976849
Total Pages : 426 pages
Book Rating : 4.0/5 (389 download)

DOWNLOAD NOW!

Book Synopsis Learning to Understand Remote Sensing Images by : Qi Wang

Download or read book Learning to Understand Remote Sensing Images written by Qi Wang and published by MDPI. This book was released on 2019-09-30 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.

Big Data Analysis and Deep Learning Applications

Author : Thi Thi Zin
Publisher : Springer
ISBN 13 : 9811308691
Total Pages : 388 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analysis and Deep Learning Applications by : Thi Thi Zin

Download or read book Big Data Analysis and Deep Learning Applications written by Thi Thi Zin and published by Springer. This book was released on 2018-06-06 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.

Proceedings of the Tiangong-2 Remote Sensing Application Conference

Author : Yidong Gu
Publisher : Springer
ISBN 13 : 981133501X
Total Pages : 356 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the Tiangong-2 Remote Sensing Application Conference by : Yidong Gu

Download or read book Proceedings of the Tiangong-2 Remote Sensing Application Conference written by Yidong Gu and published by Springer. This book was released on 2018-12-07 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a selection of peer-reviewed papers presented at the Tiangong-2 Data Utilization Conference, which was held in Beijing, China, in December 2018. As the first space laboratory in China, Tiangong-2 carries 3 new types of remote sensing payloads – the Wide-band Imaging Spectrometer (WIS), Three-dimensional Imaging Microwave Altimeter (TIMA), and Multi-band Ultraviolet Edge Imaging Spectrometer (MUEIS) – for observing the Earth. The spectrum of the WIS covers 18 bands, from visible to thermal infrared, with a swath of 300km. The TIMA is the first-ever system to use interferometric imaging radar altimeter (InIRA) technology to measure sea surface height and land topography at near-nadir angles with a wide swath. In turn, the MUEIS is the world’s first large-field atmospheric detector capable of quasi-synchronously detecting the characteristics of ultraviolet limb radiation in the middle atmosphere. The Earth observation data obtained by Tiangong-2 has attracted many research groups and been applied in such diverse areas as land resources, water resources, climate change, environmental monitoring, agriculture, forestry, ecology, oceanography, meteorology and so on. The main subjects considered in this proceedings volume include: payload design, data processing, data service and application. It also provides a comprehensive introduction to the research results gleaned by engineers, researchers and scientists throughout the lifecycle of the Tiangong-2 Earth observation data, which will improve the payload development and enhance remote sensing data applications.

Machine Learning Paradigms: Theory and Application

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 3030023575
Total Pages : 472 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning Paradigms: Theory and Application by : Aboul Ella Hassanien

Download or read book Machine Learning Paradigms: Theory and Application written by Aboul Ella Hassanien and published by Springer. This book was released on 2018-12-08 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms. The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.

Proceedings of International Conference on Advanced Computing Applications

Author : Jyotsna Kumar Mandal
Publisher : Springer Nature
ISBN 13 : 9811652074
Total Pages : 837 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of International Conference on Advanced Computing Applications by : Jyotsna Kumar Mandal

Download or read book Proceedings of International Conference on Advanced Computing Applications written by Jyotsna Kumar Mandal and published by Springer Nature. This book was released on 2021-11-23 with total page 837 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at the 2nd International Conference on Advanced Computing Applications (ICACA 2021), held virtually during 27––28 March 2021. The book is divided into four sections. These are communication and computing, signal processing and multimedia, computational intelligence and data analytics and decision computing. The topics covered are advanced communication technologies, IoT-based systems and applications, network security and reliability, virtualization technologies, compressed sensors and multimedia applications, signal image and video processing, machine learning, pattern recognitions, intelligent computing, big data analytics, analytics in bio-computing, AI-driven 6G mobile wireless networks and autonomous driving.