Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modelling is both a research- and practice-based reference that bridges the gap between the remote sensing field and the dynamic oceanography exploration field. In this perspective, the book explicates how to apply techniques in synthetic aperture radar and quantum interferometry synthetic aperture radar (QIn SAR) for oceanic turbulence and front simulation and modelling. The book includes detailed algorithms to enable readers to better understand and implement the practices covered in their own work and apply QIn SAR to their own research.This multidisciplinary reference is useful for researchers and academics in dynamic oceanography and modelling, remote sensing and aquatic science, as well as geographers, geophysicists, and environmental engineers- Details the potential of synthetic aperture radar in imaging ocean surface dynamical features- Includes detailed algorithms and methods, allowing readers to develop their own computer algorithms- Covers the latest applications of quantum image processing
Maged Marghany
Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modeling [EPUB ebook]
Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modeling [EPUB ebook]
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لغة الإنجليزية ● شكل EPUB ● ISBN 9780443191565 ● الناشر Elsevier Science ● نشرت 2024 ● للتحميل 3 مرات ● دقة EUR ● هوية شخصية 9525547 ● حماية النسخ Adobe DRM
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