Accuracy Assessment of Remote Sensing-derived Change Detection PDF Download

Author: Siamak Khorram
Publisher:
ISBN:
Category : Aerial photography in land use
Languages : en
Pages : 72

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Author: Nancy E. Podger
Publisher:
ISBN:
Category :
Languages : en
Pages : 256

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Author: Russell G. Congalton
Publisher: CRC Press
ISBN: 1420055135
Category : Mathematics
Languages : en
Pages : 210

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Book Description
Accuracy assessment of maps derived from remotely sensed data has continued to grow since the first edition of this groundbreaking book. As a result, the much-anticipated new edition is significantly expanded and enhanced to reflect growth in the field. The new edition features three new chapters, including: Fuzzy accuracy assessmentPositional accu

Author: John R. Jensen
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 584

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Book Description
For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. This revision of Introductory Digital Image Processing: A Remote Sensing Perspective continues to focus on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Prentice Hall Series Geographic Information Science.

Author: James Richard Anderson
Publisher:
ISBN:
Category : Land cover
Languages : en
Pages : 36

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Author: Ross S. Lunetta
Publisher: CRC Press
ISBN: 9781575040370
Category : Technology & Engineering
Languages : en
Pages : 350

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Book Description
This text provides coverage of the fundamentals, the techniques, and the demonstrated results of a variety of projects in a manner accessible to both the novice and the advanced user of remotely sensed data.

Author: Vineeth Balasubramanian
Publisher: Newnes
ISBN: 0124017150
Category : Computers
Languages : en
Pages : 323

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Book Description
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

Author: Farouk El-Baz
Publisher: Routledge
ISBN: 1317219880
Category : Social Science
Languages : en
Pages : 225

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Book Description
The Gulf War inflicted dramatic environmental damage upon the fragile desert and shore environments of Kuwait and north eastern Saudi Arabia. Marine environments experienced oil spills; inland, oil lakes and burning oil wells caused widespread pollution. This book, first published in 1994, presents an in-depth analysis of these environmental disasters, their long-term consequences, and potential ways to repair the damage.

Author: John D. Bossler
Publisher: CRC Press
ISBN: 9780748409242
Category : Technology & Engineering
Languages : en
Pages : 672

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Book Description
Professionals in local and national government and in the private sector frequently need to draw on Geographical Information Systems (GIS), Remote Sensing (RS) and Global Positioning Systems (GPS), often in an integrated manner. This manual shows a hands-on operator how to work across the range of geospatial science and technology, whether as a user or as a contractor of services employing these technologies, and without either specialist education or substantial experience. The manual covers the fundamentals of each of these topical areas, providing the requisite mathematics, computer science and physics necessary to understand how the technologies work, assuming some elementary background in calculus and physics. It also shows how the technologies can be used together and focuses on their commonalities. A number of applications such as mapping and environmental modeling are presented, and a website accompanies the book.

Author: Morton J. Canty
Publisher: CRC Press
ISBN: 1466570377
Category : Mathematics
Languages : en
Pages : 575

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Book Description
Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL and Python, Third Edition introduces techniques used in the processing of remote sensing digital imagery. It emphasizes the development and implementation of statistically motivated, data-driven techniques. The author achieves this by tightly interweaving theory, algorithms, and computer codes. See What’s New in the Third Edition: Inclusion of extensive code in Python, with a cloud computing example New material on synthetic aperture radar (SAR) data analysis New illustrations in all chapters Extended theoretical development The material is self-contained and illustrated with many programming examples in IDL. The illustrations and applications in the text can be plugged in to the ENVI system in a completely transparent fashion and used immediately both for study and for processing of real imagery. The inclusion of Python-coded versions of the main image analysis algorithms discussed make it accessible to students and teachers without expensive ENVI/IDL licenses. Furthermore, Python platforms can take advantage of new cloud services that essentially provide unlimited computational power. The book covers both multispectral and polarimetric radar image analysis techniques in a way that makes both the differences and parallels clear and emphasizes the importance of choosing appropriate statistical methods. Each chapter concludes with exercises, some of which are small programming projects, intended to illustrate or justify the foregoing development, making this self-contained text ideal for self-study or classroom use.