000824843 000__ 05264cam\a2200517Ii\4500 000824843 001__ 824843 000824843 005__ 20230306144142.0 000824843 006__ m\\\\\o\\d\\\\\\\\ 000824843 007__ cr\cn\nnnunnun 000824843 008__ 171202s2018\\\\sz\\\\\\ob\\\\000\0\eng\d 000824843 019__ $$a1013823355$$a1017839680$$a1032282844 000824843 020__ $$a9783319663302$$q(electronic book) 000824843 020__ $$a3319663305$$q(electronic book) 000824843 020__ $$z9783319663289 000824843 020__ $$z3319663283 000824843 0247_ $$a10.1007/978-3-319-66330-2$$2doi 000824843 035__ $$aSP(OCoLC)on1013819917 000824843 035__ $$aSP(OCoLC)1013819917$$z(OCoLC)1013823355$$z(OCoLC)1017839680$$z(OCoLC)1032282844 000824843 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dOCLCO$$dN$T$$dGW5XE$$dAZU$$dOCLCF$$dUAB$$dMERER$$dOCLCQ$$dYDX$$dU3W 000824843 049__ $$aISEA 000824843 050_4 $$aTA1637.5 000824843 08204 $$a621.36/7801/5118$$223 000824843 24500 $$aMathematical models for remote sensing image processing :$$bmodels and methods for the analysis of 2D satellite and aerial images /$$cGabriele Moser, Josiane Zerubia, editors. 000824843 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2018] 000824843 264_4 $$c©2018 000824843 300__ $$a1 online resource. 000824843 336__ $$atext$$btxt$$2rdacontent 000824843 337__ $$acomputer$$bc$$2rdamedia 000824843 338__ $$aonline resource$$bcr$$2rdacarrier 000824843 347__ $$atext file$$bPDF$$2rda 000824843 4901_ $$aSignals and communication technology 000824843 504__ $$aIncludes bibliographical references. 000824843 5050_ $$aMathematical models and methods for remote sensing image analysis: an introduction -- Models for hyperspectral image analysis: from unmixing to object-based classification -- Very high spatial resolution optical imagery: tree-based methods and multi-temporal models for mining and analysis -- Very high resolution and interferometric SAR: Markovian and patch-based non-local mathematical models -- Polarimetric SAR modelling: Mellin kind statistics and time-frequency analysis -- Remote sensing data fusion: guided filter-based hyperspectral pansharpening and graph-based feature-level fusion -- “Remote sensing data fusion: Markov models and mathematical morphology for multisensor, multiresolution, and multiscale image classification -- Change detection in multitemporal images through single-and multi-scale approaches -- Satellite image time series: mathematical models for data mining and missing data restoration.- Advances in kernel machines for image classification and biophysical parameter retrieval. 000824843 506__ $$aAccess limited to authorized users. 000824843 520__ $$a"This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodological and experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subjects are covered. With each chapter being written by research scientists from (at least) two different institutions, it offers multiple professional experiences and perspectives on each subject. The book also provides expert analysis and commentary from leading remote sensing and image processing researchers, many of whom serve on the editorial boards of prestigious international journals in these fields, and are actively involved in international scientific societies. Providing the reader with a comprehensive picture of the overall advances and the current cutting-edge developments in the field of mathematical models for remote sensing image analysis, this book is ideal as both a reference resource and a textbook for graduate and doctoral students as well as for remote sensing scientists and practitioners."--$$cProvided by publisher. 000824843 588__ $$aOnline resource; title from PDF title page (viewed December 7, 2017). 000824843 650_0 $$aImage processing$$xMathematical models. 000824843 650_0 $$aRemote-sensing images. 000824843 7001_ $$aMoser, Gabriele,$$eeditor. 000824843 7001_ $$aZerubia, Josiane,$$d1957-$$eeditor. 000824843 77608 $$iPrint version:$$aMoser, Gabriele$$tMathematical Models for Remote Sensing Image Processing : Models and Methods for the Analysis of 2D Satellite and Aerial Images$$dCham : Springer International Publishing AG, z.Hd. Alexander Grossmann,c2017$$z9783319663289 000824843 830_0 $$aSignals and communication technology. 000824843 852__ $$bebk 000824843 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-66330-2$$zOnline Access$$91397441.1 000824843 909CO $$ooai:library.usi.edu:824843$$pGLOBAL_SET 000824843 980__ $$aEBOOK 000824843 980__ $$aBIB 000824843 982__ $$aEbook 000824843 983__ $$aOnline 000824843 994__ $$a92$$bISE