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020 _a9783662474563
024 7 _a10.1007/978-3-662-47456-3
_2doi
040 _aES-MaUEC
050 4 _aG70.4
_b.W36 2016 EB
082 0 4 _a621.382
100 1 _aWang, Liguo
_9100160
_0Local
245 1 0 _aHyperspectral Image Processing
_cby Liguo Wang, Chunhui Zhao
260 _aBerlin, Heidelberg
_bSpringer Berlin Heidelberg
_c2016
300 _a1 recurso en línea (XVII, 315 p.)
_b121 ilustraciones, 15 ilustraciones en color
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aBasic theory and main processing techniques of hyperspectral remote sensing -- Classification technique for HSI -- Endmember extraction technique of HSI -- Spectral unmixing technique of HSI -- Sub-pixel mapping technique of HSI -- Super-resolution technique of HSI -- Anomaly detection technique of HSI -- Dimensionality reduction and compression technique of HSI -- Introduction to hyperspectral remote sensing applications
520 _aBased on the authors{u2019} research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource
710 2 _aSpringerLink (Online service)
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988 _aEBOOK, EBSPRINGER
650 7 _aTeledetección
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700 1 _aZhao, Chunhui
_9100161
_0Local
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-662-47456-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783662474563
907 _a.b12957288
_b10-10-17
_c21-11-16
998 _am
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_a_vill
_b09-09-17
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