Deep Learning for Remote Sensing Images with Open Source Software (Signal and Image Processing of Earth Observations)
by Rémi Cresson
Discover how to apply deep learning to remote sensing images using open source software in this specialized guide. Part of the Signal and Image Processing of Earth Observations series, it offers practical insights for processing earth observation data effectively and accessibly.
About This Book
Deep Learning for Remote Sensing Images with Open Source Software focuses on applying deep learning methods to remote sensing imagery. The book is part of the Signal and Image Processing of Earth Observations series, emphasizing accessible tools for earth observation tasks.
Authored by Rémi Cresson, it guides readers through the use of open source software to handle complex image data from remote sensing applications. This approach makes advanced techniques available without proprietary dependencies.
The content addresses key aspects of signal and image processing, tailored specifically for earth observations. It serves as a resource for professionals and researchers in the field seeking practical implementations.
By leveraging open source solutions, the book promotes reproducibility and collaboration in remote sensing projects. It covers foundational to advanced topics in deep learning for image analysis.
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