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001 978-981-13-1020-1
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008 190129s2019 si | s |||| 0|eng d
020 _a9789811310201
_9978-981-13-1020-1
024 7 _a10.1007/978-981-13-1020-1
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTJF
_2thema
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082 0 4 _a621.382
_223
100 1 _aGao, Gui.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_936118
245 1 0 _aCharacterization of SAR Clutter and Its Applications to Land and Ocean Observations
_h[electronic resource] /
_cby Gui Gao.
250 _a1st ed. 2019.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2019.
300 _aX, 166 p. 65 illus., 48 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aSurvey on Statistical Modeling of SAR Data -- Statistical Modeling of Single-Channel SAR Data -- Statistical Modeling of Multi-Channel SAR Data -- Target Detection and Terrain Classification using Single-Channel SAR Data -- Ship Detection in Multi-Polarimetric SAR Images -- Moving Vehicle Detection in Along-Track Interferometric SAR Complex Images -- Ship Detection in Along-Track Interferometric SAR complex Images.
520 _aThis book discusses statistical modeling of single- and multi-channel synthetic aperture radar (SAR) images and the applications of these newly developed models in land and ocean monitoring, such as target detection and terrain classification. It is a valuable reference for researchers and engineers interested in information processing of remote sensing, radar signal processing, and image interpretation.
650 0 _aSignal processing.
_94052
650 0 _aGeographic information systems.
_911535
650 0 _aMathematical models.
_94632
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aGeographical Information System.
_931831
650 2 4 _aMathematical Modeling and Industrial Mathematics.
_933097
710 2 _aSpringerLink (Online service)
_936119
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811310195
776 0 8 _iPrinted edition:
_z9789811310218
856 4 0 _uhttps://doi.org/10.1007/978-981-13-1020-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75923
_d75923