04765nam 22008055 450 991043776790332120200704093248.03-642-30062-6978-3-642-30062-210.1007/978-3-642-30062-2(CKB)3400000000086117(EBL)972963(OCoLC)810448984(SSID)ssj0000767173(PQKBManifestationID)11442133(PQKBTitleCode)TC0000767173(PQKBWorkID)10740665(PQKB)11296545(DE-He213)978-3-642-30062-2(MiAaPQ)EBC972963(MiAaPQ)EBC6314191(PPN)16831584X(EXLCZ)99340000000008611720120913d2013 u| 0engur|n|---|||||txtccrRemote Sensing Digital Image Analysis An Introduction /by John A. Richards5th ed. 2013.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2013.1 online resource (502 p.)Description based upon print version of record.3-642-30061-8 Sources 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.Remote 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.Signal processingImage processingSpeech processing systemsGeotechnical engineeringRemote sensingOptical data processingEnvironmental toxicologySignal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Geotechnical Engineering & Applied Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/G37010Remote Sensing/Photogrammetryhttps://scigraph.springernature.com/ontologies/product-market-codes/J13010Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Ecotoxicologyhttps://scigraph.springernature.com/ontologies/product-market-codes/U25001Signal processing.Image processing.Speech processing systems.Geotechnical engineering.Remote sensing.Optical data processing.Environmental toxicology.Signal, Image and Speech Processing.Geotechnical Engineering & Applied Earth Sciences.Remote Sensing/Photogrammetry.Image Processing and Computer Vision.Ecotoxicology.621.3678Richards John Aauthttp://id.loc.gov/vocabulary/relators/aut606694MiAaPQMiAaPQMiAaPQBOOK9910437767903321Remote sensing digital image analysis1432839UNINA