Satellite Image Analysis: Clustering and ClassificationКНИГИ » ПРОГРАММИНГ
Название: Satellite Image Analysis: Clustering and Classification Автор: Surekha Borra, Rohit Thanki Издательство: Springer Год: 2019 Язык: английский Формат: pdf (true), epub Размер: 29.2 MB
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.
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An Introduction to Satellite Communications Название: An Introduction to Satellite Communications Автор: D.I. Dalgleish Издательство: Peter Peregrinus Ltd. Год: 1989 Формат: PDF Страниц: 352...
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Satellite Image Analysis: Clustering and Classification 
