000 03648nam a22005655i 4500
001 978-3-642-30062-2
003 DE-He213
005 20200421111157.0
007 cr nn 008mamaa
008 120913s2013 gw | s |||| 0|eng d
020 _a9783642300622
_9978-3-642-30062-2
024 7 _a10.1007/978-3-642-30062-2
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
100 1 _aRichards, John A.
_eauthor.
245 1 0 _aRemote Sensing Digital Image Analysis
_h[electronic resource] :
_bAn Introduction /
_cby John A. Richards.
250 _a5th ed. 2013.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXIX, 494 p. 223 illus., 20 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 _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.
520 _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.
650 0 _aEngineering.
650 0 _aGeotechnical engineering.
650 0 _aImage processing.
650 0 _aRemote sensing.
650 0 _aEcotoxicology.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aGeotechnical Engineering & Applied Earth Sciences.
650 2 4 _aRemote Sensing/Photogrammetry.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aEcotoxicology.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642300615
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-30062-2
912 _aZDB-2-ENG
942 _cEBK
999 _c53598
_d53598