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 |