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Incorporation Of Categorical Ancillary Data Into Multispectral Image Classifications Using A Modified Bayesian Desicison Rule Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Incorporation Of Categorical Ancillary Data Into Multispectral Image Classifications Using A Modified Bayesian Desicison Rule book. This book definitely worth reading, it is an incredibly well-written.
Author : Matthew Raymond Bobo
Publisher : Unknown
Page : 380 pages
File Size : 41,6 Mb
Release : 1997
Category : Electronic
ISBN : WISC:89058894817
Author : Anonim
Publisher : Unknown
Page : 764 pages
File Size : 52,6 Mb
Release : 1997
Category : Cartography
ISBN : STANFORD:36105021258681
Author : Jeffrey A. Cardille
Publisher : Unknown
Page : 232 pages
File Size : 47,6 Mb
Release : 2002
Category : Electronic
ISBN : WISC:89085269918
Author : Anonim
Publisher : Unknown
Page : 8 pages
File Size : 43,6 Mb
Release : 1975
Category : Artificial satellites in geographical research
ISBN : IND:30000124665039
Author : Mainak Bandyopadhyay,Minakhi Rout,Suresh Chandra Satapathy
Publisher : Springer Nature
Page : 208 pages
File Size : 49,7 Mb
Release : 2021-04-28
Category : Technology & Engineering
ISBN : 9789811609350
This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area. It details multiple types of data generating from urban activities and suitability of various machine learning algorithms for handling urban data. The book is helpful for researchers, academicians, faculties, scientists and geospatial industry professionals for their research work and sets new ideas in the field of urban computing.
Author : Andrew R. Webb
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 50,5 Mb
Release : 2003-07-25
Category : Mathematics
ISBN : 9780470854785
Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as data mining, web searching,multimedia data retrieval, face recognition, and cursivehandwriting recognition - require robust and efficient patternrecognition techniques. Statistical decision making and estimationare regarded as fundamental to the study of pattern recognition. Statistical Pattern Recognition, Second Edition has been fullyupdated with new methods, applications and references. It providesa comprehensive introduction to this vibrant area - with materialdrawn from engineering, statistics, computer science and the socialsciences - and covers many application areas, such as databasedesign, artificial neural networks, and decision supportsystems. * Provides a self-contained introduction to statistical patternrecognition. * Each technique described is illustrated by real examples. * Covers Bayesian methods, neural networks, support vectormachines, and unsupervised classification. * Each section concludes with a description of the applicationsthat have been addressed and with further developments of thetheory. * Includes background material on dissimilarity, parameterestimation, data, linear algebra and probability. * Features a variety of exercises, from 'open-book' questions tomore lengthy projects. The book is aimed primarily at senior undergraduate and graduatestudents studying statistical pattern recognition, patternprocessing, neural networks, and data mining, in both statisticsand engineering departments. It is also an excellent source ofreference for technical professionals working in advancedinformation development environments. For further information on the techniques and applicationsdiscussed in this book please visit ahref="http://www.statistical-pattern-recognition.net/"www.statistical-pattern-recognition.net/a
Author : Basudeb Bhatta
Publisher : Springer Science & Business Media
Page : 191 pages
File Size : 48,8 Mb
Release : 2010-03-03
Category : Science
ISBN : 9783642052996
This book provides a comprehensive discussion on urban growth and sprawl, and how they can be analyzed using remote sensing imageries. It compiles views of numerous researchers that help in understanding the urban growth and sprawl; their patterns, process, causes, consequences, and countermeasures; how remote sensing data and geographic information system techniques can be used in mapping, monitoring, measuring, analyzing, and simulating the urban growth and sprawl and what are the merits and demerits of available methods and models. This book will be of value for the scientists and researchers engaged in urban geographic research, especially using remote sensing imageries. This book will serve as a rigours literature review for them. Post graduate students of urban geography or urban/regional planning may refer this book as additional studies. This book may help the academicians for preparing lecture notes and delivering lectures. Industry professionals may also be benefited from the discussed methods and models along with numerous citations.
Author : Lalit Kumar,Onisimo Mutanga
Publisher : MDPI
Page : 420 pages
File Size : 45,8 Mb
Release : 2019-04-23
Category : Science
ISBN : 9783038978848
In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.
Author : Philippe Blondel
Publisher : Springer Science & Business Media
Page : 344 pages
File Size : 40,9 Mb
Release : 2010-05-17
Category : Science
ISBN : 9783540498865
Sidescan sonar is proving to be the preeminent technique for researchers and professionals seeking knowledge about the structure and behavior of the seafloor, but its data is often difficult to interpret due to the physics of acoustic remote sensing, and to the varied geological processes at play. This book covers the fundamentals of sidescan sonar, incorporates new understanding of marine structures, and explains how to interpret sidescan sonar imagery and bathymetry.
Author : John A. Richards
Publisher : Springer Science & Business Media
Page : 297 pages
File Size : 53,8 Mb
Release : 2013-04-17
Category : Technology & Engineering
ISBN : 9783662024621
With the widespread availability of satellite and aircraft remote sensing image data in digital form, and the ready access most remote sensing practitioners have to computing systems for image interpretation, there is a need to draw together the range of digital image processing procedures and methodologies commonly used in this field into a single treatment. It is the intention of this book to provide such a function, at a level meaningful to the non-specialist digital image analyst, but in sufficient detail that algorithm limitations, alternative procedures and current trends can be appreciated. Often the applications specialist in remote sensing wishing to make use of digital processing procedures has had to depend upon either the mathematically detailed treatments of image processing found in the electrical engineering and computer science literature, or the sometimes necessarily superficial treatments given in general texts on remote sensing. This book seeks to redress that situation. Both image enhancement and classification techniques are covered making the material relevant in those applications in which photointerpretation is used for information extraction and in those wherein information is obtained by classification.
Author : Carolyn T. Hunsaker,Michael F. Goodchild,Mark A. Friedl,Ted J. Case
Publisher : Springer Science & Business Media
Page : 417 pages
File Size : 52,8 Mb
Release : 2013-12-01
Category : Science
ISBN : 9781461302094
This is one of the first books to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research, and thus delivers the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences by way of spatial data. After describing the uses of such data in ecological research, the authors discuss how to account for the effects of uncertainty in various methods of analysis.
Author : Friedrich Recknagel
Publisher : Springer Science & Business Media
Page : 440 pages
File Size : 41,7 Mb
Release : 2002-12-11
Category : Science
ISBN : 3540434550
Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. It illustrates numerous applications of Ecological Informatics for stream systems, river systems, freshwater lakes and marine systems as well as image recognition at micro and macro scale. Case studies focus on applications of artificial neural networks, genetic algorithms, fuzzy logic and adaptive agents to current ecological management issues such as toxic algal blooms, eutrophication, habitat degradation, conservation of biodiversity and sustainable fishery.
Author : Giuseppe Nicosia,Panos Pardalos,Renato Umeton,Giovanni Giuffrida,Vincenzo Sciacca
Publisher : Springer Nature
Page : 798 pages
File Size : 49,5 Mb
Release : 2020-01-03
Category : Computers
ISBN : 9783030375997
This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, held in Siena, Italy, in September 2019. The 54 full papers presented were carefully reviewed and selected from 158 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.
Author : Food and Agriculture Organization of the United Nations,Global Soil Partnership
Publisher : Food & Agriculture Org.
Page : 222 pages
File Size : 55,8 Mb
Release : 2018-05-21
Category : Technology & Engineering
ISBN : 9789251304402
The Soil Organic Carbon Mapping cookbook provides a step-by-step guidance for developing 1 km grids for soil carbon stocks. It includes the preparation of local soil data, the compilation and pre-processing of ancillary spatial data sets, upscaling methodologies, and uncertainty assessments. Guidance is mainly specific to soil carbon data, but also contains many generic sections on soil grid development, as it is relevant for other soil properties. This second edition of the cookbook provides generic methodologies and technical steps to produce SOC maps and has been updated with knowledge and practical experiences gained during the implementation process of GSOCmap V1.0 throughout 2017. Guidance is mainly specific to SOC data, but as this cookbook contains generic sections on soil grid development it can be applicable to map various soil properties.
Author : Anonim
Publisher : Unknown
Page : 658 pages
File Size : 40,8 Mb
Release : 2002
Category : ERDAS Imagine (Computer program)
ISBN : 1553957652
This book is designed for a widely diverse audience, from those new to geoprocessing to veteran industry users. For newcomers, the Guide "provides a brief history of the field, an extensive glossary of terms, and notes about applications for the different processes described." For more experienced users, the Guide "includes the formulas and algorithms that are used in the code," so that exactly how each operation works can be readily seen. -- from Introduction.