Two-Dimensional Change Detection Methods

Two-Dimensional Change Detection Methods

Author: Murat İlsever

Publisher: Springer Science & Business Media

Published: 2012-06-22

Total Pages: 77

ISBN-13: 1447142551

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Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. The latter two methods form the basis for a structural analysis of change detection. Three thresholding algorithms are compared, and their effects on the performance of change detection methods are measured. These tests on existing and novel change detection methods make use of a total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and their interpretations are provided.


Two-Dimensional Change Detection Methods

Two-Dimensional Change Detection Methods

Author: Murat İlsever

Publisher: Springer

Published: 2012-06-21

Total Pages: 72

ISBN-13: 9781447142560

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Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. The latter two methods form the basis for a structural analysis of change detection. Three thresholding algorithms are compared, and their effects on the performance of change detection methods are measured. These tests on existing and novel change detection methods make use of a total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and their interpretations are provided.


Web and Big Data

Web and Big Data

Author: Lei Chen

Publisher: Springer

Published: 2017-08-01

Total Pages: 673

ISBN-13: 3319635794

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This two –volume set, LNCS 10366 and 10367, constitutes the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017. The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions. The papers are organized around the following topics: spatial data processing and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications; machine learning and optimization.


Proteome Research: Two-Dimensional Gel Electrophoresis and Identification Methods

Proteome Research: Two-Dimensional Gel Electrophoresis and Identification Methods

Author: T. Rabilloud

Publisher: Springer Science & Business Media

Published: 1999-09-17

Total Pages: 272

ISBN-13: 9783540657927

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With the end of the Human Genome Project in sight, the next important step is to determine the function of genes. Proteome Research is an important approach to this study and is the first book to comprehensively cover the application of two-dimensional electrophoresis, the central methodology in proteome research. The state-of-the-art is described in detail and the available detection methods are extensively covered. Sufficient detail is given to allow readers to apply these technologies to their own particular requirements.


Computer Processing of Remotely-Sensed Images

Computer Processing of Remotely-Sensed Images

Author: Paul M. Mather

Publisher: John Wiley & Sons

Published: 2022-04-06

Total Pages: 388

ISBN-13: 1119502977

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Computer Processing of Remotely-Sensed Images A thorough introduction to computer processing of remotely-sensed images, processing methods, and applications Remote sensing is a crucial form of measurement that allows for the gauging of an object or space without direct physical contact, allowing for the assessment and recording of a target under conditions which would normally render access difficult or impossible. This is done through the analysis and interpretation of electromagnetic radiation (EMR) that is reflected or emitted by an object, surveyed and recorded by an observer or instrument that is not in contact with the target. This methodology is particularly of importance in Earth observation by remote sensing, wherein airborne or satellite-borne instruments of EMR provide data on the planet’s land, seas, ice, and atmosphere. This permits scientists to establish relationships between the measurements and the nature and distribution of phenomena on the Earth’s surface or within the atmosphere. Still relying on a visual and conceptual approach to the material, the fifth edition of this successful textbook provides students with methods of computer processing of remotely sensed data and introduces them to environmental applications which make use of remotely-sensed images. The new edition’s content has been rearranged to be more clearly focused on image processing methods and applications in remote sensing with new examples, including material on the Copernicus missions, microsatellites and recently launched SAR satellites, as well as time series analysis methods. The fifth edition of Computer Processing of Remotely-Sensed Images also contains: A cohesive presentation of the fundamental components of Earth observation remote sensing that is easy to understand and highly digestible Largely non-technical language providing insights into more advanced topics that may be too difficult for a non-mathematician to understand Illustrations and example boxes throughout the book to illustrate concepts, as well as revised examples that reflect the latest information References and links to the most up-to-date online and open access sources used by students Computer Processing of Remotely-Sensed Images is a highly insightful textbook for advanced undergraduates and postgraduate students taking courses in remote sensing and GIS in Geography, Geology, and Earth & Environmental Science departments.


Image Analysis and Processing — ICIAP 2015

Image Analysis and Processing — ICIAP 2015

Author: Vittorio Murino

Publisher: Springer

Published: 2015-08-20

Total Pages: 739

ISBN-13: 3319232312

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The two-volume set LNCS 9279 and 9280 constitutes the refereed proceedings of the 18th International Conference on Image Analysis and Processing, ICIAP 2015, held in Genoa, Italy, in September 2015. The 129 papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in the following seven topical sections: video analysis and understanding, multiview geometry and 3D computer vision, pattern recognition and machine learning, image analysis, detection and recognition, shape analysis and modeling, multimedia, and biomedical applications.


Conformal Prediction for Reliable Machine Learning

Conformal Prediction for Reliable Machine Learning

Author: Vineeth Balasubramanian

Publisher: Newnes

Published: 2014-04-23

Total Pages: 323

ISBN-13: 0124017150

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The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited volume brings together these bodies of work, providing a springboard for further research as well as a handbook for application in real-world problems. - Understand the theoretical foundations of this important framework that can provide a reliable measure of confidence with predictions in machine learning - Be able to apply this framework to real-world problems in different machine learning settings, including classification, regression, and clustering - Learn effective ways of adapting the framework to newer problem settings, such as active learning, model selection, or change detection


Earth Observations for Geohazards

Earth Observations for Geohazards

Author: Zhenhong Li

Publisher: MDPI

Published: 2018-07-05

Total Pages: 501

ISBN-13: 3038424005

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This book is a printed edition of the Special Issue "Earth Observations for Geohazards" that was published in Remote Sensing


Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications

Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications

Author: Tarek Sobh

Publisher: Springer Science & Business Media

Published: 2007-09-04

Total Pages: 529

ISBN-13: 1402062664

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This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Industrial Electronics, Technology, Automation, Telecommunications and Networking. The book includes selected papers from the conference proceedings of the International Conference on Industrial Electronics, Technology, Automation (IETA 2006) and International Conference on Telecommunications and Networking (TeNe 06).