000 01958cam a2200277zu 4500
001 88965879
003 FRCYB88965879
005 20250429184205.0
006 m o d
007 cr un
008 250429s2024 fr | o|||||0|0|||eng d
020 _a9780443191558
035 _aFRCYB88965879
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aMarghany, Maged
245 0 1 _aSynthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modeling
_c['Marghany, Maged']
264 1 _bElsevier Science
_c2024
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aMarghany, Maged
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88965879
_qtext/html
_a
520 _aSynthetic 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
999 _c1331127
_d1331127