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Advances in space-borne remote sensing have significantly changed the mankind viewpoint how to observe our own Earth planet. Great amount of remote sensing data and images presents new resources to quantitatively describe and monitor our Earth environment, atmosphere, oceanic and land surfaces. In remote sensing, electromagnetic (EM) scattering, emission and wave propagation, as interaction with the Earth environment, lay the physical basis for understanding and extracting geoscientific information. Study of electromagnetic waves with remote sensing application has become an active and interdisciplinary area. This book presents some new progress on the theoretical and numerical approaches for information retrieval of the remote sensing via EM scattering and emission. We begin in Chapter 1 with the vector radiative transfer (VRT) theory for inhomogeneous scatter media. The VRT takes account of multiple scattering, emission and propagation of random scatter media, and quantitatively leads to insights of elucidating and understanding EM wave-terrain surface interaction. Meanwhile, it is extensively applicable to carrying out data interpretation and validation, and to solving the inverse problem, e.g. iteratively, physically or statistically. In Chapter 1, iterative solutions of multiple scattering and emission from inhomogeneous dense scatter media, and inhomogeneous non-spherical scatter media are discussed. Three-dimensional VRT equation (3D-VRT) for spatially inhomogeneous random scatter media for high resolution observation is also investigated. The polarimetric imagery of synthetic aperture radar (SAR) technology is one of most important advances in space-borne microwave remote sensing during recent decades.
Sommario
Vector Radiative Transfer (VRT) Theory of Inhomogeneous Random Media.- Fully Polarimetric Scattering of Non-Spherical Scatter Media.- SAR Imagery and Applications.- Remote Sensing Data Validation and Applications.- Numerical Forward-Backward Method (FBM) for Scattering from Randomly Rough Surface and Target.- Numerical Finite Element Method (FEM) for Scattering from Randomly Rough Surface and Target.- Inverse Scattering and Parameter Retrievals.- Electromagnetics of Complex Particulate Media.
Info autore
Ya-Qiu Jin received the B.S. degree from Peking University (1970), and the M.S. (1982), E.E. (1983) and Ph.D. (1985) degrees from the Department of Electrical engineering and Computer Science, Massachusetts Institute of Technology, USA.
He was a Research Scientist at the Atmospheric and Environmental Research Inc. in Cambridge, USA (1985), Research Associate at the City University of New York (1986-1987), Visiting Professor at the University of York, UK (1993-94) sponsored by the UK Royal Society and at the City University of Hong Kong (2001). He held the Senior Research Associateship at NOAA/NESDIS awarded by the USA National Research Council (1996).
He is full Professor in the School of Information Science and Engineering, and Director of the Key Laboratory of Wave Scattering and Remote Sensing Information (Ministry of Education), Fudan University, Shanghai, China. He has been appointed as the Principal Scientist for the China State Major Basic Research Project (2002-2007) by the Ministry of National Science and Technology of China to lead the remote sensing state program in China.
He has been elected as the IEEE Fellow for his contribution of electromagnetic scattering model for remote sensing application. He is the founder and Chairman (1995-2003) of IEEE GRSS China Chapter.
He has published over 430 papers in China and abroad, and six books (two are in English: Electromagnetic Scattering Modeling for Quantitative Remote Sensing by Singapore: World Scientific (1994), Information of Electromagnetic Scattering and Radiative Transfer in Natural Media by Beijing: Science Press (2000)). He is the Editor of SPIE Volume 3503: Microwave Remote Sensing of the Atmosphere and Environment by USA: SPIE, and the book: Wave Propagation, Scattering and Emission in Complex Media by Singapore: World Scientific and Beijing: Science Press (2004). He is Chairman of ISAPE2000 and the International Specialist Workshop 2004 on EM Scattering and Information Retrieval in Remote Sensing.
His main research interests include electromagnetic (EM) scattering in complex media, microwave remote sensing, and computational EM. He received the China National Science Prize in 1993, the First-grade Science Prizes of the State Education Ministry in 1992, 1996, the teaching excellence Prize of Shanghai City in 2001, the excellent supervisor for graduate students in Fudan University in 2003, and the Fudan President Prize in 2004 among other many prizes.
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Riassunto
Advances in space-borne remote sensing have significantly changed the mankind viewpoint how to observe our own Earth planet. Great amount of remote sensing data and images presents new resources to quantitatively describe and monitor our Earth environment, atmosphere, oceanic and land surfaces. In remote sensing, electromagnetic (EM) scattering, emission and wave propagation, as interaction with the Earth environment, lay the physical basis for understanding and extracting geoscientific information. Study of electromagnetic waves with remote sensing application has become an active and interdisciplinary area. This book presents some new progress on the theoretical and numerical approaches for information retrieval of the remote sensing via EM scattering and emission. We begin in Chapter 1 with the vector radiative transfer (VRT) theory for inhomogeneous scatter media. The VRT takes account of multiple scattering, emission and propagation of random scatter media, and quantitatively leads to insights of elucidating and understanding EM wave-terrain surface interaction. Meanwhile, it is extensively applicable to carrying out data interpretation and validation, and to solving the inverse problem, e.g. iteratively, physically or statistically. In Chapter 1, iterative solutions of multiple scattering and emission from inhomogeneous dense scatter media, and inhomogeneous non-spherical scatter media are discussed. Three-dimensional VRT equation (3D-VRT) for spatially inhomogeneous random scatter media for high resolution observation is also investigated. The polarimetric imagery of synthetic aperture radar (SAR) technology is one of most important advances in space-borne microwave remote sensing during recent decades.
