Multisource Data Integration In Remote Sensing

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Multisource Data Integration in Remote Sensing

Author : James Charles Tilton
Publisher : Unknown
Page : 168 pages
File Size : 51,6 Mb
Release : 1991
Category : Data integration (Computer science)
ISBN : NASA:31769000469422

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Multisource Data Integration in Remote Sensing by James Charles Tilton Pdf

Vegetation Monitoring

Author : Caryl L. Elzinga,Angela G. Evenden
Publisher : DIANE Publishing
Page : 190 pages
File Size : 41,5 Mb
Release : 1998-05
Category : Electronic
ISBN : 0788148370

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Vegetation Monitoring by Caryl L. Elzinga,Angela G. Evenden Pdf

This annotated bibliography documents literature addressing the design and implementation of vegetation monitoring. It provides resources managers, ecologists, and scientists access to the great volume of literature addressing many aspects of vegetation monitoring: planning and objective setting, choosing vegetation attributes to measure, sampling design, sampling methods, statistical and graphical analysis, and communication of results. Over half of the 1400 references have been annotated. Keywords pertaining to the type of monitoring or method are included with each bibliographic entry. Keyword index.

Signal and Image Processing for Remote Sensing, Second Edition

Author : C.H. Chen
Publisher : CRC Press
Page : 623 pages
File Size : 46,5 Mb
Release : 2012-02-22
Category : Technology & Engineering
ISBN : 9781439855966

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Signal and Image Processing for Remote Sensing, Second Edition by C.H. Chen Pdf

Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both, providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from hydroacoustic, seismic, microwave, and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing with remote sensing problems. Each chapter offers an introduction to the topic before delving into research results, making the book accessible to a broad audience. This second edition reflects the considerable advances that have occurred in the field, with 23 of 27 chapters being new or entirely rewritten. Coverage includes new mathematical developments such as compressive sensing, empirical mode decomposition, and sparse representation, as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new experimental results on SAR and hyperspectral image processing. The emphasis is on mathematical techniques that will far outlast the rapidly changing sensor, software, and hardware technologies. Written for industrial and academic researchers and graduate students alike, this book helps readers connect the "dots" in image and signal processing. New in This Edition The second edition includes four chapters from the first edition, plus 23 new or entirely rewritten chapters, and 190 new figures. New topics covered include: Compressive sensing The mixed pixel problem with hyperspectral images Hyperspectral image (HSI) target detection and classification based on sparse representation An ISAR technique for refocusing moving targets in SAR images Empirical mode decomposition for signal processing Feature extraction for classification of remote sensing signals and images Active learning methods in classification of remote sensing images Signal subspace identification of hyperspectral data Wavelet-based multi/hyperspectral image restoration and fusion The second edition is not intended to replace the first edition entirely and readers are encouraged to read both editions of the book for a more complete picture of signal and image processing in remote sensing. See Signal and Image Processing for Remote Sensing (CRC Press 2006).

Integration of GIS and Remote Sensing

Author : Victor Mesev
Publisher : John Wiley & Sons
Page : 312 pages
File Size : 51,5 Mb
Release : 2008-03-11
Category : Science
ISBN : 9780470864111

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Integration of GIS and Remote Sensing by Victor Mesev Pdf

In an age of unprecedented proliferation of data from disparate sources the urgency is to create efficient methodologies that can optimise data combinations and at the same time solve increasingly complex application problems. Integration of GIS and Remote Sensing explores the tremendous potential that lies along the interface between GIS and remote sensing for activating interoperable databases and instigating information interchange. It concentrates on the rigorous and meticulous aspects of analytical data matching and thematic compatibility - the true roots of all branches of GIS/remote sensing applications. However closer harmonization is tempered by numerous technical and institutional issues, including scale incompatibility, measurement disparities, and the inescapable notion that data from GIS and remote sensing essentially represent diametrically opposing conceptual views of reality. The first part of the book defines and characterises GIS and remote sensing and presents the reader with an awareness of the many scale, taxonomical and analytical problems when attempting integration. The second part of the book moves on to demonstrate the benefits and costs of integration across a number of human and environmental applications. This book is an invaluable reference for students and professionals dealing not only with GIS and remote sensing, but also computer science, civil engineering, environmental science and urban planning within the academic, governmental and commercial/business sectors.

Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022)

Author : Roumen Kountchev,Kazumi Nakamatsu,Wenfeng Wang,Roumiana Kountcheva
Publisher : Springer Nature
Page : 706 pages
File Size : 54,9 Mb
Release : 2023-01-01
Category : Technology & Engineering
ISBN : 9789811971846

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Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022) by Roumen Kountchev,Kazumi Nakamatsu,Wenfeng Wang,Roumiana Kountcheva Pdf

This book features a collection of high-quality, peer-reviewed research papers presented at first ‘World Conference on Intelligent and 3-D Technologies’ (WCI3DT 2022), held in China during May 24–26, 2022. The book provides an opportunity for the researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications, and other related areas. The book presents ideas and the works of scientists, engineers, educators, and students from all over the world from institutions and industries.

Cloud Computing in Remote Sensing

Author : Lizhe Wang,Jining Yan,Yan Ma
Publisher : CRC Press
Page : 283 pages
File Size : 40,6 Mb
Release : 2019-07-11
Category : Computers
ISBN : 9780429949876

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Cloud Computing in Remote Sensing by Lizhe Wang,Jining Yan,Yan Ma Pdf

This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the entire life cycle of remote sensing data and builds an entire high performance remote sensing data processing system framework. It also develops a series of remote sensing data management and processing standards. Features: Covers remote sensing cloud computing Covers remote sensing data integration across distributed data centers Covers cloud storage based remote sensing data share service Covers high performance remote sensing data processing Covers distributed remote sensing products analysis

The SAGE Handbook of Remote Sensing

Author : Timothy A Warner,M Duane Nellis,Giles M Foody
Publisher : SAGE
Page : 537 pages
File Size : 44,8 Mb
Release : 2009-06-18
Category : Science
ISBN : 9781446206768

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The SAGE Handbook of Remote Sensing by Timothy A Warner,M Duane Nellis,Giles M Foody Pdf

′A magnificent achievement. A who′s who of contemporary remote sensing have produced an engaging, wide-ranging and scholarly review of the field in just one volume′ - Professor Paul Curran, Vice-Chancellor, Bournemouth University Remote Sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales Remote Sensing is a large and diverse field for which this Handbook will be the key research reference. Organized in four key sections: • Interactions of Electromagnetic Radiation with the Terrestrial Environment: chapters on Visible, Near-IR and Shortwave IR; Middle IR (3-5 micrometers); Thermal IR ; Microwave • Digital sensors and Image Characteristics: chapters on Sensor Technology; Coarse Spatial Resolution Optical Sensors ; Medium Spatial Resolution Optical Sensors; Fine Spatial Resolution Optical Sensors; Video Imaging and Multispectral Digital Photography; Hyperspectral Sensors; Radar and Passive Microwave Sensors; Lidar • Remote Sensing Analysis - Design and Implementation: chapters on Image Pre-Processing; Ground Data Collection; Integration with GIS; Quantitative Models in Remote Sensing; Validation and accuracy assessment; • Remote Sensing Analysis - Applications: LITHOSPHERIC SCIENCES: chapters on Topography; Geology; Soils; PLANT SCIENCES: Vegetation; Agriculture; HYDROSPHERIC and CRYSOPHERIC SCIENCES: Hydrosphere: Fresh and Ocean Water; Cryosphere; GLOBAL CHANGE AND HUMAN ENVIRONMENTS: Earth Systems; Human Environments & Links to the Social Sciences; Real Time Monitoring Systems and Disaster Management; Land Cover Change Illustrated throughout, an essential resource for the analysis of remotely sensed data, the SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.

Web Information Systems Engineering - WISE 2009

Author : Gottfried Vossen,Darrell D. E. Long,Jeffrey Xu Yu
Publisher : Springer
Page : 606 pages
File Size : 44,9 Mb
Release : 2009-10-13
Category : Computers
ISBN : 9783642044090

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Web Information Systems Engineering - WISE 2009 by Gottfried Vossen,Darrell D. E. Long,Jeffrey Xu Yu Pdf

Welcome to the tenth anniversary of the International Conference on Web Information Systems Engineering, WISE 2009. This year the WISE conference continued the tradition that has evolved from the inaugural conference held in 2000 in Hong Kong and since then has made its journey around the world: 2001 Kyoto (Japan), 2002 Singapore, 2003 Rome (Italy), 2004 Brisbane (Australia), 2005 New York (USA), 2006 Wuhan (China), 2007 Nancy (France), and 2008 Auckland (New Zealand). This year we were happy to hold the event in Poznan, a city of 600,000 inhabitants in western Poland. Poznan is the capital of the most affluent province of the country – Wielkopolska – which means “Greater Poland”. For more than 1,000 years, Poznan’s geographical location has predestined the city to be a significant scientific, cultural and economic center with more than just regional influence. The city is situated on the strategic cross-roads from Paris and Berlin in the west, to Warsaw and Moscow in the east, and from Scandinavia through the Baltic Sea in the north to the Balkans in the south. Poznan is a great research and university center with a dynamic potential. In all, 140,000 students are enrolled in 26 state-run and private institutions of higher education here, among which the Poznan University of Economics with its 12,000 students is one of the biggest. The WISE 2009 Conference provided a forum for engineers and scientists to present their latest findings in Web-related technologies and solutions.

Advances in Environmental Remote Sensing

Author : Qihao Weng
Publisher : CRC Press
Page : 610 pages
File Size : 42,5 Mb
Release : 2011-02-16
Category : Technology & Engineering
ISBN : 9781420091816

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Advances in Environmental Remote Sensing by Qihao Weng Pdf

Generating a satisfactory classification image from remote sensing data is not a straightforward task. Many factors contribute to this difficulty including the characteristics of a study area, availability of suitable remote sensing data, ancillary and ground reference data, proper use of variables and classification algorithms, and the analyst's e

Integrating Scale in Remote Sensing and GIS

Author : Dale A. Quattrochi,Elizabeth Wentz,Nina Siu-Ngan Lam,Charles W. Emerson
Publisher : CRC Press
Page : 440 pages
File Size : 42,8 Mb
Release : 2017-01-06
Category : Technology & Engineering
ISBN : 9781482218275

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Integrating Scale in Remote Sensing and GIS by Dale A. Quattrochi,Elizabeth Wentz,Nina Siu-Ngan Lam,Charles W. Emerson Pdf

Integrating Scale in Remote Sensing and GIS serves as the most comprehensive documentation of the scientific and methodological advances that have taken place in integrating scale and remote sensing data. This work addresses the invariants of scale, the ability to change scale, measures of the impact of scale, scale as a parameter in process models, and the implementation of multiscale approaches as methods and techniques for integrating multiple kinds of remote sensing data collected at varying spatial, temporal, and radiometric scales. Researchers, instructors, and students alike will benefit from a guide that has been pragmatically divided into four thematic groups: scale issues and multiple scaling; physical scale as applied to natural resources; urban scale; and human health/social scale. Teeming with insights that elucidate the significance of scale as a foundation for geographic analysis, this book is a vital resource to those seriously involved in the field of GIScience.

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Author : Ni-Bin Chang,Kaixu Bai
Publisher : CRC Press
Page : 647 pages
File Size : 43,6 Mb
Release : 2018-02-21
Category : Technology & Engineering
ISBN : 9781351650632

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Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing by Ni-Bin Chang,Kaixu Bai Pdf

In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.

Spatial Statistics for Remote Sensing

Author : A. Stein,Freek D. van der Meer,Ben Gorte
Publisher : Springer Science & Business Media
Page : 289 pages
File Size : 49,7 Mb
Release : 2005-12-29
Category : Science
ISBN : 9780306476471

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Spatial Statistics for Remote Sensing by A. Stein,Freek D. van der Meer,Ben Gorte Pdf

This book is a collection of papers on spatial statistics for remote sensing. The book emerges from a study day that was organized in 1996 at the International Institute for Aerospace Survey and Earth Sciences, ITC, in Enschede, The Netherlands. It was by several means a memorable event. The beautiful new building, according to a design by the famous modern Dutch architect Max van Huet was just opened, and this workshop was the first to take place there. Of course, much went wrong during the workshop, in particular as the newest electronic equipment regularly failed. But the workshop attrackted more than hundred attendants, and was generally well received. The results of the workshop have been published in Stein et al. (1998). The aim of the workshop was to address issues of spatial statistics for remote sensing. The ITC has a long history on collecting and analyzing satellite and other remote sensing data, but its involvement into spatial statistics is of a more recent date. Uncertainties in remote sensing images and the large amounts of data in many spectral bands are now considered to be of such an impact that it requires a separate approach from a statistical point of view. To quote from the justification of the study day, we read: Modern communication means such as remote sensing require an advanced use of collected data. Satellites collect data with different resolution on different spectral bands.

China’s e-Science Blue Book 2023

Author : Chinese Academy of Sciences
Publisher : Springer Nature
Page : 464 pages
File Size : 47,6 Mb
Release : 2024-07-03
Category : Electronic
ISBN : 9789819982707

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China’s e-Science Blue Book 2023 by Chinese Academy of Sciences Pdf