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020 _a9783031022470
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024 7 _a10.1007/978-3-031-02247-0
_2doi
050 4 _aT1-995
072 7 _aTBC
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072 7 _aTEC000000
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082 0 4 _a620
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100 1 _aCamps-Valls, Gustavo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987092
245 1 0 _aRemote Sensing Image Processing
_h[electronic resource] /
_cby Gustavo Camps-Valls, Devis Tuia, Luis Gómez-Chova, Sandra Jiménez, Jesus Malo.
250 _a1st ed. 2012.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2012.
300 _aXIX, 242 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _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.
650 0 _aEngineering.
_99405
650 0 _aElectrical engineering.
_987094
650 0 _aSignal processing.
_94052
650 1 4 _aTechnology and Engineering.
_987095
650 2 4 _aElectrical and Electronic Engineering.
_987096
650 2 4 _aSignal, Speech and Image Processing.
_931566
700 1 _aTuia, Devis.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987098
700 1 _aGómez-Chova, Luis.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987099
700 1 _aJiménez, Sandra.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987101
700 1 _aMalo, Jesus.
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_4http://id.loc.gov/vocabulary/relators/aut
_987103
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aSynthesis Lectures on Image, Video, and Multimedia Processing,
_x1559-8144
_987106
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02247-0
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