Next-Generation Hyperspectral Image Analysis by Juan M. Haut (.ePUB)+
File Size: 37.1 MB
Next-Generation Hyperspectral Image Analysis: Using Deep Learning Method (Advances in Computer Vision and Pattern Recognition) by Juan M. Haut, Mercedes E. Paoletti
Requirements: .ePUB, .PDF reader, 37.1 MB | True PDF, True EPUB
Overview: This book is a comprehensive guide that bridges the gap between foundational principles and cutting-edge advancements in hyperspectral imaging and Deep Learning. With contributions from leading international experts, this book covers a wide range of topics essential for researchers, engineers, and professionals in the field. This book begins with an introduction to hyperspectral imaging and Deep Learning, setting the stage for more advanced discussions. Subsequent chapters delve into neural network architectures, graph-based methods, generative models, and the application of transformers in hyperspectral imaging. Each chapter not only presents theoretical insights but also practical applications, making complex concepts accessible and relevant. Readers will discover methods to optimize Deep Learning models through techniques like quantization and pruning, ensuring efficiency without sacrificing performance. Additionally, this book addresses the practical challenges of managing and processing large volumes of hyperspectral data, offering strategies for data storage, management, and parallel processing.
Genre: Non-Fiction > Tech & Devices
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