Satellite Image Classification Methods
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Artificial Intelligence Techniques for Satellite Image Analysis
The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.
Satellite Image Classification Methods
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-03-09
Embark on a journey into the realm of satellite image classification with this comprehensive guide, unlocking the secrets of extracting valuable information from vast amounts of Earth observation data. Delve into the fundamental principles and cutting-edge techniques of this transformative technology, empowering yourself to harness the wealth of knowledge hidden within satellite imagery. Discover the intricacies of spectral, textural, and contextual analysis, and unravel the complexities of machine learning algorithms, object-based image analysis, and hyperspectral image classification. Explore specialized domains such as radar and SAR image classification, gaining insights into their unique characteristics and applications. Witness the synergistic power of multi-sensor and multi-temporal data integration, unlocking enhanced classification accuracy and temporal analysis capabilities. Delve into the importance of accuracy assessment and validation, ensuring the reliability and trustworthiness of your classification results. With real-world case studies and illustrative examples, this book brings the concepts and techniques to life, showcasing the practical applications of satellite image classification in diverse domains. From land cover mapping and environmental monitoring to disaster response and urban planning, see how this technology drives informed decision-making and addresses real-world challenges. Whether you are a student seeking a comprehensive understanding of satellite image classification, a researcher delving into advanced techniques, or a practitioner seeking to harness the power of this technology, this book is your ultimate resource. Its interdisciplinary approach and comprehensive coverage make it an essential guide for anyone seeking to unlock the transformative potential of satellite image classification. Immerse yourself in the world of satellite image classification and uncover the hidden insights within Earth observation data. This book is your key to unlocking the transformative power of this technology, empowering you to make informed decisions and drive positive change. If you like this book, write a review!
Satellite Image Analysis
Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision support systems can facilitate the efforts of data analysts, reduce human error, and allow the rapid and rigorous analysis of land use and land cover information. Integrating Machine Learning (ML) technology with the human visual psychometric can help meet geologists’ demands for more efficient and higher-quality classification in real time. This book introduces readers to key concepts, methods and models for satellite image analysis; highlights state-of-the-art classification and clustering techniques; discusses recent developments and remaining challenges; and addresses various applications, making it a valuable asset for engineers, data analysts and researchers in the fields of geographic information systems and remote sensing engineering.