£123.47

Springer Deep Learning for Hyperspectral Image Analysis Book

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Description

Expand your technical knowledge with Deep Learning for Hyperspectral Image Analysis and Classification. Published by Springer, this volume serves as the 5th installment in the Engineering Applications of Computational Methods series. It is a specialized resource designed for professionals and students focused on AI and machine learning applications within the field of hyperspectral imaging. This book provides a structured approach to understanding how deep learning techniques can be applied to complex image analysis and classification tasks. As part of a recognized engineering series, it offers a foundation for those working in computer science and advanced computational modeling. Whether you are researching new algorithms or implementing existing machine learning models for image processing, this text provides the necessary academic and technical context required for modern engineering applications.

Key Features

Part of the Engineering Applications of Computational Methods series (Volume 5) for specialized academic study.

Published by Springer, a leading name in scientific and technical literature.

Focuses on the integration of deep learning within hyperspectral image analysis and classification.

Designed for readers interested in computer science, AI, and machine learning topics.

Provides technical insights into computational methods for engineering applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
22 February 2022
Listed Since
26 January 2022

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