Hyperspectral Data Processing : Algorithm Design and Analysis

Hyperspectral Data Processing : Algorithm Design and Analysis

John Wiley & Sons Inc

Master the complexities of spectral imaging with Hyperspectral Data Processing: Algorithm Design and Analysis. This comprehensive guide provides a deep dive into the mathematical and computational techniques required to effectively process and analyze hyperspectral data. The text covers fundamental principles, advanced signal processing algorithms, and practical applications in remote sensing and image analysis. Designed for researchers, engineers, and students in computer science and electrical engineering, this book offers a structured approach to solving data processing challenges in high-dimensional datasets. It explores the transition from raw data collection to refined information extraction, focusing on algorithm performance and efficiency. This essential reference covers key topics such as linear mixture analysis, spectral unmixing, and classification methods. Product Summary: This hardback book by John Wiley & Sons provides an in-depth academic examination of algorithm design and data analysis for hyperspectral imaging systems.

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