Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modeling

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¥39,177
  • 電子書籍
  • ポイントキャンペーン

Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modeling

  • 著者名:Marghany, Maged
  • 価格 ¥32,926 (本体¥29,933)
  • Elsevier(2024/07/09発売)
  • 冬の読書を楽しもう!Kinoppy 電子書籍・電子洋書 全点ポイント25倍キャンペーン(~1/25)
  • ポイント 7,475pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780443191558
  • eISBN:9780443191565

ファイル: /

Description

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 (QInSAR) 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 QInSAR 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

Table of Contents

1. An Introduction to Oceanic Turbulence and Fronts 2. Structural oceanic Front Associations with Turbulence 3. Conventional Exploration Methods in Physical Oceanography 4. Overview of Remote Sensing for Turbulence and Oceanic Fronts 5. Mechanism of Microwave Remote Sensing in Geological Structure Imaging 6. Turbulence and Oceanic Front structurals observed under the Polarized Microwave Remote Sensing 7. Texture and Quantum Entropy Algorithms for Turbulence and Oceanic Front structural Detections in Synthetic Aperture Radar Images 8. Mahalanobis Classifier and Neural Network Algorithms For Turbulence Structural Detections 9. Fractal Dimension Algorithm for Automatic Detection of Oceanic Front Structurals 10. Quantum Wavelet Transform for Eddy Structural In SAR Images 11. Quantum Cellular Automata Algorithm for Automatic Detection of Upwelling 12. Quantum Multiobjective Algorithm for Vorticity Detection from Synthetic Aperture Radar 13. Quantum Interferometry Radar for Turbulence Chaotic Flow Simulation

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