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010   $a3-642-30062-6
010   $a978-3-642-30062-2
024 7 $a10.1007/978-3-642-30062-2
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035   $a(EBL)972963
035   $a(OCoLC)810448984
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100   $a20120913d2013      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aRemote Sensing Digital Image Analysis $eAn Introduction /$fby John A. Richards
205   $a5th ed. 2013.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013.
215   $a1 online resource (502 p.)
300   $aDescription based upon print version of record.
311   $a3-642-30061-8 
327   $aSources and characteristics of remote sensing image data -- correcting and registering images -- interpreting images -- radiometric enhancement of images -- geometric processing and enhancement: image domain techniques -- spectral domain image transforms -- spatial domain image transforms -- supervised classification techniques -- clustering and unsupervised classification -- Feature Reduction -- Image Classification in Practice -- Multisource Image Analysis.
330   $aRemote Sensing Digital Image Analysis provides the non-specialist with a treatment of the quantitative analysis of satellite and aircraft derived remotely sensed data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same.  This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image processing in remote sensing.  The presentation level is for the mathematical non-specialist.  Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background.  Each chapter covers a different aspect of the analysis of digital remotely sensed data, without an excessively detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter.
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aGeotechnical engineering
606   $aRemote sensing
606   $aOptical data processing
606   $aEcotoxicology
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aGeotechnical Engineering & Applied Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/G37010
606   $aRemote Sensing/Photogrammetry$3https://scigraph.springernature.com/ontologies/product-market-codes/J13010
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aEcotoxicology$3https://scigraph.springernature.com/ontologies/product-market-codes/U25001
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aGeotechnical engineering.
615  0$aRemote sensing.
615  0$aOptical data processing.
615  0$aEcotoxicology.
615 14$aSignal, Image and Speech Processing.
615 24$aGeotechnical Engineering & Applied Earth Sciences.
615 24$aRemote Sensing/Photogrammetry.
615 24$aImage Processing and Computer Vision.
615 24$aEcotoxicology.
676   $a621.3678
700   $aRichards$b John A$4aut$4http://id.loc.gov/vocabulary/relators/aut$0606694
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437767903321
996   $aRemote sensing digital image analysis$91432839
997   $aUNINA