Computer Processing of Remotely-Sensed Images
📘 About This Book
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.
📖 Summary
Computer Processing of Remotely-Sensed Images by Paul M. Mather, published in 2022 across 388 pages, stands as a thorough introduction to the complex world of remote sensing, processing methods, and practical applications within the technology and engineering genres. At its core, the book explores remote sensing as a crucial form of measurement. This scientific discipline allows observers to gauge an object, surface, or space without requiring direct physical contact. By deploying this methodology, researchers and professionals can assess and record targets even under hostile or remote conditions that would normally render direct access difficult or completely impossible. The text elucidates how this remote observation is achieved through the careful analysis and interpretation of electromagnetic radiation. This radiation is either reflected or emitted by a target object, and it is subsequently surveyed and recorded by specialized instruments or observers positioned safely away from the subject matter. Mather meticulously details the journey of this data, explaining how modern computer processing techniques transform raw electromagnetic readings into meaningful insights. Earth observation by remote sensing receives significant focus throughout the volume. In this context, airborne or satellite-borne instruments capture vast amounts of electromagnetic radiation data. The book serves as a bridge, guiding readers from the physical principles of electromagnetic radiation collection all the way to advanced digital image processing techniques. Students, researchers, and engineering professionals will find that the publication offers a comprehensive foundation in handling spatial data. It covers the methodologies required to convert orbital and aerial observations into actionable information, addressing both theoretical concepts and applied scenarios. By breaking down the intricate workflows involved in interpreting remotely-sensed imagery, the author equips readers with the analytical tools needed to navigate contemporary geospatial challenges. Whether applied to environmental monitoring, urban planning, resource management, or atmospheric studies, the foundational principles outlined in the 388 pages remain essential for anyone looking to master the technical side of Earth observation.
🎯 Key Lessons
⚖️ Pros & Cons
✅ Pros
Provides a thorough introduction to remote sensing and processing methods
Covers important applications in Earth observation
Explains complex electromagnetic radiation concepts clearly
Delivers valuable technical content for technology and engineering fields
⚠️ Cons
May require prior technical background to fully grasp advanced concepts
Focuses heavily on technical processing rather than casual reading
❓ FAQ
Who is the author of Computer Processing of Remotely-Sensed Images? +
The author of the book is Paul M. Mather.
When was this edition published? +
This edition was published in the year 2022.
How many pages does the book contain? +
The book contains 388 pages.
What core technology is the book focused on? +
The book focuses on remote sensing, image processing methods, and the analysis of electromagnetic radiation.
What primary field benefits from this methodology? +
Earth observation via airborne and satellite instruments heavily relies on this methodology.
