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008			230330s2012 sz | s |||| 0|eng d
020			_a9783031022470
024	7		_a10.1007/978-3-031-02247-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aG70.4 _b2012 EB
100	1		_aCamps-Valls, Gustavo, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687902 _d1972-
245	1	0	_aRemote Sensing Image Processing _cby Gustavo Camps-Valls, Devis Tuia, Luis Gómez-Chova, Sandra Jiménez, Jesus Malo
250			_a1st edition 2012
264		1	_aCham _bSpringer International Publishing _c2012
300			_a1 recurso en línea (XIX, 242 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Image Video and Multimedia Processing _x1559-8144
505	0		_aRemote Sensing from Earth Observation Satellites -- The Statistics of Remote Sensing Images -- Remote Sensing Feature Selection and Extraction -- Classification -- Spectral Mixture Analysis -- Estimation of Physical Parameters.
520			_aEarth observation is the field of science concerned with the problem of monitoring and modeling the processes on the Earth surface and their interaction with the atmosphere. The Earth is continuously monitored with advanced optical and radar sensors. The images are analyzed and processed to deliver useful products to individual users, agencies and public administrations. To deal with these problems, remote sensing image processing is nowadays a mature research area, and the techniques developed in the field allow many real-life applications with great societal value. For instance, urban monitoring, fire detection or flood prediction can have a great impact on economical and environmental issues. To attain such objectives, the remote sensing community has turned into a multidisciplinary field of science that embraces physics, signal theory, computer science, electronics and communications. From a machine learning and signal/image processing point of view, all the applications are tackled under specific formalisms, such as classification and clustering, regression and function approximation, data coding, restoration and enhancement, source unmixing, data fusion or feature selection and extraction. This book covers some of the fields in a comprehensive way. Table of Contents: Remote Sensing from Earth Observation Satellites / The Statistics of Remote Sensing Images / Remote Sensing Feature Selection and Extraction / Classification / Spectral Mixture Analysis / Estimation of Physical Parameters.
988			_aSynthesis Collection of Technology_2012
650		7	_2embne _9142193 _aTeledetección
650		7	_2embne _9669495 _aProceso de imágenes
700	1		_aTuia, Devis _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687903
700	1		_aGómez Chova, Luis _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _936547
700	1		_aJiménez, Sandra _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aMalo, Jesus _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783031011191
776	0	8	_iPrinted edition: _z9783031033759
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02247-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eIG _zSI