Non-Linear Spectral Unmixing of Hyperspectral Data

Non-Linear Spectral Unmixing of Hyperspectral Data

This book is based on satellite image processing focussing on the potential of hyperspectral image processing research taking a case study-based approach. It covers the background, objectives, and practical issues related to HIP and discusses the needs/potentials of said technology for discriminatio...

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Detalles Bibliográficos
Otros Autores: Chakravortty, Somdatta, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press [2025]
Edición:First edition
Materias:
Hyperspectral imaging.
Artificial satellites in remote sensing.
Image processing > Digital techniques.
Nonlinear optics.
Optical detectors.
Mangrove forests > Sundarbans (Bangladesh and India) > Remote sensing > Case studies.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009869105406719
Descripción
Sumario:This book is based on satellite image processing focussing on the potential of hyperspectral image processing research taking a case study-based approach. It covers the background, objectives, and practical issues related to HIP and discusses the needs/potentials of said technology for discrimination of pure and mixed endmembers in pixels.
Descripción Física:1 online resource (131 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:9781040112618
9781003432623
9781040112557

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