Remote Sensing Digital Image Analysis - An Introduction is a comprehensive guide that provides a non-specialist with an introduction to evaluate quantitative data obtained from satellites and aircraft...s. The book has been written by Dr. Jon C. L. Downing and is published by the European Space Agency.
The book has undergone revisions and significant developments since the first edition, keeping up with the changes in algorithms used for the processing and analysis of remote sensing imagery. It contains new techniques that can be incorporated into an operational framework for the analysis of remote sensing data.
This 2nd edition of the book is designed as a teaching text for senior undergraduate and postgraduate students who are interested in learning the fundamentals of remote sensing digital image analysis. Additionally, it serves as a valuable reference text for those engaged in research using digital image processing in remote sensing.
The mathematical level of presentation is kept at a minimum, thereby making it easy for non-specialists to understand. The book has been written in a manner to suit the background of earth sciences communities, as they form a significant user-base of remote sensing.
Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer-based algorithms, but in a manner conducive to understanding their capabilities and limitations. Problems conclude each chapter to help reinforce the understanding of concepts explained in the book.
Overall, Remote Sensing Digital Image Analysis - An Introduction provides researchers and students interested in remote sensing with an excellent resource to learn the fundamentals of digital image analysis. It is a must-read for anyone looking to enhance their proficiency in remote sensing data analysis.
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Remote Sensing Digital Image Analysis is a comprehensive and up-to-date product that covers the fundamental methods used for the processing and interpretation of remotely sensed image data. Remote sen...sing, which involves the acquisition and analysis of data from satellites, aircraft, and drones, has become increasingly important in recent years for a wide range of fields, including environmental science, agriculture, urban planning, and national security.
The product presents material that has retained value from previous editions, but also includes newer techniques, covered from the perspective of operational remote sensing. It is designed as a teaching text for senior undergraduate and postgraduate students, as well as a fundamental treatment for those engaged in research using digital image analysis in remote sensing. The presentation level is for the mathematical non-specialist, making it accessible to a wide range of users.
The chapters in Remote Sensing Digital Image Analysis progress logically through various means for the acquisition of remote sensing images, techniques by which they can be corrected, and methods for their interpretation. The prime focus is on applications of the methods, so worked examples are included, and a set of problems concludes each chapter.
Some of the topics covered in the product include image enhancement, image classification, change detection, and time series analysis. The third edition of the book includes new material on machine learning, big data analytics, and cloud computing, which have all become increasingly important in recent years for remote sensing applications.
Overall, Remote Sensing Digital Image Analysis is an essential product for anyone interested in using remotely sensed data for scientific research, policy-making, or any other application. It provides a comprehensive and accessible introduction to the methods used for the processing and interpretation of remote sensing data, making it an invaluable resource for students and researchers alike.
Introductory Digital Image Processing A Remote Sensing Perspective